Tootfinder

Mining companies leave many Queensland farmers’ land barren and broken. When they go belly up who pays for rehabilitation? https://www.theguardian.com/australia-news/2025/sep/14/farming-land-mining-companies-who-p…

Unsere „sauberen“ Stromautos machen den Dreck halt vor fremden Haustüren: https://www.geo.de/wissen/-the-impact-of-nickel-mining-on-halmahera-island--von-mas-agung-wilis-yudha-baskoro_35584898-35584862.html…

"The Impact of Nickel Mining on Halmahera Island" von Mas Agung Wilis Yudha Baskoro
Seit 70 Jahren kürt der Wettbewerb Menschen, die einen besonderen Blick auf die Gegenwart eröffnen. Nun stehen die Siegerinnen und Sieger der sechs Weltregionen fest

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining
Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh, Georgii Fedorov, Bulat Suleimanov, Vladimir Dokholyan, Aleksandr Gordeev
https://arxiv.org/abs/2507.14119

NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining
Recent advances in generative modeling enable image editing assistants that follow natural language instructions without additional user input. Their supervised training requires millions of triplets: original image, instruction, edited image. Yet mining pixel-accurate examples is hard. Each edit must affect only prompt-specified regions, preserve stylistic coherence, respect physical plausibility, and retain visual appeal. The lack of robust automated edit-quality metrics hinders reliable auto…

"Satellite data show burst of deforestation in Myanmar rare earth mining hotspots"
#Myanmar #Trees #Environment

Satellite data show burst of deforestation in Myanmar rare earth mining hotspots
Myanmar’s Kachin state, near the border with China, is a global hub for rare earth minerals. But the dearth of regulations over mining these resources has come at a steep cost to the area’s subtropical and moist forests, according to researchers and satellite imagery collected by Mongabay. Civil society sources in the region, who requested […]

🌡️ Mexico’s rising mercury trade fuels toxic gold mining in Latin America: Report
https://news.mongabay.com/2025/07/mexicos-rising-mercury-trade-fuels-toxic-gold-mining-in-latin-america-report/

Mexico’s rising mercury trade fuels toxic gold mining in Latin America: Report
MEXICO CITY — In 2017, as part of an international treaty, Mexico started phasing down mercury production and eliminating its use in gold mining, citing major environmental and public health hazards. The effort appeared to work: Between 2017 and 2018, the government reported that national mercury production had dropped from 442 metric tons to just […]

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Saw this cool 3d map at the North Star Powerhouse Museum. It's a gold mine. Layers of the mine are painted on clear panels and they are stacked to show the 3d view.

Shares of bitcoin mining companies pivoting to AI and HPC infrastructure have soared in 2025, with a fund tracking mining firms up 150% year-to-date (Sidhartha Shukla/Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-18/…

Crypto Miners Riding the AI Wave Are Leaving Bitcoin Behind
Shares of the large-scale computing outfits that make Bitcoin work are once again outperforming the original cryptocurrency, as more pivot to hybrid models built around artificial intelligence and high-performance computing.

Enhancing Contrastive Link Prediction With Edge Balancing Augmentation
Chen-Hao Chang, Hui-Ju Hung, Chia-Hsun Lu, Chih-Ya Shen
https://arxiv.org/abs/2508.14808 https://

Enhancing Contrastive Link Prediction With Edge Balancing Augmentation
Link prediction is one of the most fundamental tasks in graph mining, which motivates the recent studies of leveraging contrastive learning to enhance the performance. However, we observe two major weaknesses of these studies: i) the lack of theoretical analysis for contrastive learning on link prediction, and ii) inadequate consideration of node degrees in contrastive learning. To address the above weaknesses, we provide the first formal theoretical analysis for contrastive learning on link pr…

Blast Hole Seeking and Dipping -- The Navigation and Perception Framework in a Mine Site Inspection Robot
Liyang Liu, Ehsan Mihankhah, Nathan Wallace, Javier Martinez, Andrew J. Hill
https://arxiv.org/abs/2508.13785

Blast Hole Seeking and Dipping -- The Navigation and Perception Framework in a Mine Site Inspection Robot
In open-pit mining, holes are drilled into the surface of the excavation site and detonated with explosives to facilitate digging. These blast holes need to be inspected internally for investigation of downhole material types and properties. Knowing these properties can lead to significant savings in material handling costs in downstream processes. Manual hole inspection is slow and expensive, with major limitations in revealing the geometric and geological properties of the holes and their con…

Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining
Ding, Chen, Huang, Guo, Mao, Shao, Zou, Liu, Zhang

Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
Heng Zhang, Chengzhi Zhang
https://arxiv.org/abs/2509.12955 https://

Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
The automated generation of research workflows is essential for improving the reproducibility of research and accelerating the paradigm of "AI for Science". However, existing methods typically extract merely fragmented procedural components and thus fail to capture complete research workflows. To address this gap, we propose an end-to-end framework that generates comprehensive, structured research workflows by mining full-text academic papers. As a case study in the Natural Language Processing …

From Cascadia Journal
Toxic #Vancouver mining firm Teck agrees to merger
CBC reports that Vancouver-based mining firm Teck has agreed to a merger with the British company Anglo American to create a massive multinational mining corporation known as Anglo Teck. Teck has been involved in multiple environmental disasters and billions of dollars of pollution impacts from its operations across Ca…

Vancouver mining firm Teck Resources agrees to merge with Anglo American | CBC News
Vancouver-based mining company Teck Resources has agreed to merge with British mining multinational Anglo American in one of the sector's largest-ever acquisitions.

Copper rush pushes Vale to ramp up mining near Amazonian protected areas https://news.mongabay.com/2025/10/copper-rush-pushes-vale-to-ramp-up-mining-near-amazonian-protected-areas/

Copper rush pushes Vale to ramp up mining near Amazonian protected areas
The metal needed in electric cars and solar panels comes with a high cost for Amazonian communities.

Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation
Bruno Yui Yamate, Thais Rodrigues Neubauer, Marcelo Fantinato, Sarajane Marques Peres
https://arxiv.org/abs/2509.09684

Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation
This paper introduces text-2-SQL-4-PM, a bilingual (Portuguese-English) benchmark dataset designed for the text-to-SQL task in the process mining domain. Text-to-SQL conversion facilitates natural language querying of databases, increasing accessibility for users without SQL expertise and productivity for those that are experts. The text-2-SQL-4-PM dataset is customized to address the unique challenges of process mining, including specialized vocabularies and single-table relational structures …

Identifying Information Technology Research Trends through Text Mining of NSF Awards
Said Varlioglu, Hazem Said, Murat Ozer, Nelly Elsayed
https://arxiv.org/abs/2509.12245 https…

Identifying Information Technology Research Trends through Text Mining of NSF Awards
Information Technology (IT) is recognized as an independent and unique research field. However, there has been ambiguity and difficulty in identifying and differentiating IT research from other close variations. Given this context, this paper aimed to explore the roots of the Information Technology (IT) research domain by conducting a large-scale text mining analysis of 50,780 abstracts from awarded NSF CISE grants from 1985 to 2024. We categorized the awards based on their program content, lab…

Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
https://arxiv.org/abs/2508.10212

Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
Underground mining operations rely on distributed sensor networks to collect critical data daily, including mine temperature, toxic gas concentrations, and miner movements for hazard detection and operational decision-making. However, transmitting raw sensor data to a central server for training deep learning models introduces significant privacy risks, potentially exposing sensitive mine-specific information. Federated Learning (FL) offers a transformative solution by enabling collaborative mo…

Milliardendeal: Rumble erwägt Übernahme von deutscher Northern Data
Die US-Videoplattform Rumble hat vor allem Northern Datas Cloud- und Rechenzentrumssparte im Visier. Sein Krypto-Mining-Geschäft soll Northern Data verkaufen.

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Efficient Mining of Low-Utility Sequential Patterns
Jian Zhu, Zhidong Lin, Wensheng Gan, Ruichu Cai, Zhifeng Hao, Philip S. Yu
https://arxiv.org/abs/2510.10243 https://

Efficient Mining of Low-Utility Sequential Patterns
Discovering valuable insights from rich data is a crucial task for exploratory data analysis. Sequential pattern mining (SPM) has found widespread applications across various domains. In recent years, low-utility sequential pattern mining (LUSPM) has shown strong potential in applications such as intrusion detection and genomic sequence analysis. However, existing research in utility-based SPM focuses on high-utility sequential patterns, and the definitions and strategies used in high-utility S…

Remote mining: Ukrainian sappers showcase their ground robotic systems #shorts: https://benborges.xyz/2025/09/30/remote-mining-ukrainian-sappers-showcase.html

An Overlapping Coalition Game Approach for Collaborative Block Mining and Edge Task Offloading in MEC-assisted Blockchain Networks
Licheng Ye, Zehui Xiong, Lin Gao, Dusit Niyato
https://arxiv.org/abs/2508.06031

An Overlapping Coalition Game Approach for Collaborative Block Mining and Edge Task Offloading in MEC-assisted Blockchain Networks
Mobile edge computing (MEC) is a promising technology that enhances the efficiency of mobile blockchain networks, by enabling miners, often acted by mobile users (MUs) with limited computing resources, to offload resource-intensive mining tasks to nearby edge computing servers. Collaborative block mining can further boost mining efficiency by allowing multiple miners to form coalitions, pooling their computing resources and transaction data together to mine new blocks collaboratively. Therefore…

Trump approves Alaska mining road to boost copper, zinc production
https://financialpost.com/pmn/trump-approves-alaska-mining-road-to-boost-copper-zinc-production

Qubic, a layer-1 blockchain project that pools mining resources, has been trying a 51% attack on Monero and says it succeeded, causing Monero's price to fall (Adrian Zmudzinski/Cointelegraph)
https://cointelegraph.com/news/monero-qubic-selfish-mining-51-perce…

IoT Miner: Intelligent Extraction of Event Logs from Sensor Data for Process Mining
Edyta Brzychczy, Urszula Jessen, Krzysztof Kluza, Sridhar Sriram, Manuel Vargas Nettelnstroth
https://arxiv.org/abs/2509.05769

IoT Miner: Intelligent Extraction of Event Logs from Sensor Data for Process Mining
This paper presents IoT Miner, a novel framework for automatically creating high-level event logs from raw industrial sensor data to support process mining. In many real-world settings, such as mining or manufacturing, standard event logs are unavailable, and sensor data lacks the structure and semantics needed for analysis. IoT Miner addresses this gap using a four-stage pipeline: data preprocessing, unsupervised clustering, large language model (LLM)-based labeling, and event log construction…

Power Cable Radiation: A Novel Approach to Underground Mining Connectivity
Siphiwe Shandu, Thabiso Moropa, Alain R. Ndjiongue
https://arxiv.org/abs/2510.09573 https://

Power Cable Radiation: A Novel Approach to Underground Mining Connectivity
This letter investigates contactless power line communications (CPLC) for underground mining by modeling power wires as long-wire antennas. A system-level framework is developed, comprising a cascade of RF and power line channels. The model accounts for multipath propagation, frequency-dependent attenuation, and Rician fading. Simulations from 1-20 GHz reveal that the length of the wire significantly affects radiation, directivity, and input impedance. The findings show that CPLC transmits elec…

Chain-of-Alpha: Unleashing the Power of Large Language Models for Alpha Mining in Quantitative Trading
Lang Cao, Zekun Xi, Long Liao, Ziwei Yang, Zheng Cao
https://arxiv.org/abs/2508.06312

Chain-of-Alpha: Unleashing the Power of Large Language Models for Alpha Mining in Quantitative Trading
Alpha factor mining is a fundamental task in quantitative trading, aimed at discovering interpretable signals that can predict asset returns beyond systematic market risk. While traditional methods rely on manual formula design or heuristic search with machine learning, recent advances have leveraged Large Language Models (LLMs) for automated factor discovery. However, existing LLM-based alpha mining approaches remain limited in terms of automation, generality, and efficiency. In this paper, we…

What began as a silent infiltration into one of the world’s largest cryptocurrency mining pools has now been confirmed as
the biggest crypto theft in history.
The LuBian mining pool, once a dominant force in the Bitcoin network, quietly lost over 127,000 Bitcoins in 2020.
The breach was only uncovered in 2025 by Arkham Intelligence, revealing a staggering $14.5 billion worth of stolen assets that had remained untouched and undetected for half a decade

The biggest heist of all time involved over $14 billion of crypto being stolen - and it went undetected for five years
Five years of silence before exposure

Every NFL team is looking for inside info about its opponents. This is how they do it https://www.nytimes.com/athletic/6694280/2025/10/17/sign-stealing-signals-nfl-film-play-calls/

A new idea about how to make clean Hydrogen that fits into an existing industry? ✨🌱💧
Clean Hydrogen🌱💧 will be more difficult than we might've hoped, but we still need it. Just decarbonizing the fossil🦖 Hydrogen industry is a massive undertaking. New ideas are welcome.
I recently learned about Peregrine Hydrogen. They make Hydrogen, but also something else: Sulfuric Acid🧪. They need ~½ the electricity⚡ compared to conventional electrolysis by utilizing a 2nd input.
🧵

This Hydrogen has no Color
Peregrine Hydrogen has an unusual idea for making clean Hydrogen, one that it says fits into existing industrial processes. One of the world's largest Phosphate mining companies is interested.

Curious to read #IcanHazPdf? Thanks!

Spatiotemporal Pattern Mining of Moving Objects: Concepts, Methods, and Challenges - Journal of Geovisualization and Spatial Analysis
Mining potentially meaningful movement patterns of moving objects is of great significance for analyzing human movement law, understanding traffic mechanisms, and analyzing wild animal migration activities. In recent years, the growing availability of movement data from sensor networks and location-aware devices has provided great opportunities for investigating the spatiotemporal patterns of moving objects. A systematic review of this rapidly evolving field is necessary to synthesize existing …

Estonians behind $577 million crypto mining fraud sentenced to 16 months https://therecord.media/estonians-behind-multimillion-dollar-crypto-fraud-sentenced

China's XCMG secures major deal with Fortescue for battery-electric mining haul trucks, marking China's largest green mining export order. #climatechange #climatesolutions #climate

Fortescue order for giant electric haul trucks is China’s biggest green mining export order
XCMG says its deal to supply Fortescue with between  150 and 200 giant battery-electric mining haul trucks is China’s largest-ever export order for green mining machinery.

Open Street Map of the 400 Grade II listed telephone boxes in London.
https://overpass-turbo.eu/s/29YN

"Report links world’s top banks to social & environmental harms from mining"
#Banks #Finance #Environment

Report links world’s top banks to social & environmental harms from mining
A new Forests and Finance Coalition report finds top financial institutions, including JPMorgan Chase, Bank of America and BlackRock, support mining companies linked to deforestation, land-grabs, contamination and Indigenous rights violations. According to the report, from 2016-24, major banks provided $493 billion in loans and underwriting to mining companies, including Glencore, Rio Tinto and Vale. […]

Pleasantly Surprised!!
"Cryptocurrency mining – another sector with large electricity demands – would be banned.”
Unfortunately unsurprised:
"starting next year, the province will open up bidding for artificial intelligence and data centres that will be capped at a total of 400 megawatts of power over a two-year period. Prices will be set by regulation.”
#BCPoli #Energy #Electricity #AI #bubble
https://archive.ph/TJ6sy#selection-2589.0-2589.88

The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks
Shrabani Ghosh, Erik Saule
https://arxiv.org/abs/2509.09045 https://

The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks
In real-world scenarios, large graphs represent relationships among entities in complex systems. Mining these large graphs often containing millions of nodes and edges helps uncover structural patterns and meaningful insights. Dividing a large graph into smaller subgraphs facilitates complex system analysis by revealing local information. Community detection extracts clusters or communities of graphs based on statistical methods and machine learning models using various optimization techniques.…

#Decarbonization #Greenwashing This #Hydrogen has no Color
Peregrine Hydrogen has an unusual idea for making clean Hydrogen, one that it says fits into existing industrial processes. One of the wor…

This Hydrogen has no Color
Peregrine Hydrogen has an unusual idea for making clean Hydrogen, one that it says fits into existing industrial processes. One of the world's largest Phosphate mining companies is interested.

Neuer Rekord-Diebstahl: Bitcoin-Beute ist heute 14,5 Milliarden US-Dollar wert
Ein chinesischer Mining-Pool wurde Opfer des größten bisher bekannten Bitcoin-Klaus. Erst fünf Jahre später wird das bekannt.

Targeted Sequential Pattern Mining with High Average Utility
Kai Cao, Yucong Duan, Wensheng Gan
https://arxiv.org/abs/2510.10115 https://arxiv.org/pdf/2510…

Targeted Sequential Pattern Mining with High Average Utility
Incorporating utility into targeted pattern mining can address the practical limitations of traditional frequency-based approaches. However, utility-based methods often suffer from generating a large number of long and complicated sequences. To improve pattern relevance and interpretability, average utility provides a more balanced metric by considering both utility and sequence length. Moreover, incorporating user-defined query targets into the mining process enhances usability and interactivi…

HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining
Eduardo Illueca-Fernandez, Kaile Chen, Fernando Seoane, Farhad Abtahi
https://arxiv.org/abs/2508.21540

HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining
Process mining has emerged as a powerful analytical technique for understanding complex healthcare workflows. However, its application faces significant barriers, including technical complexity, a lack of standardized approaches, and limited access to practical training resources. We introduce HealthProcessAI, a GenAI framework designed to simplify process mining applications in healthcare and epidemiology by providing a comprehensive wrapper around existing Python (PM4PY) and R (bupaR) librari…

Cyber Threat Hunting: Non-Parametric Mining of Attack Patterns from Cyber Threat Intelligence for Precise Threats Attribution
Rimsha Kanwal, Umara Noor, Zafar Iqbal, Zahid Rashid
https://arxiv.org/abs/2509.11615

Cyber Threat Hunting: Non-Parametric Mining of Attack Patterns from Cyber Threat Intelligence for Precise Threats Attribution
With the ever-changing landscape of cyber threats, identifying their origin has become paramount, surpassing the simple task of attack classification. Cyber threat attribution gives security analysts the insights they need to device effective threat mitigation strategies. Such strategies empower enterprises to proactively detect and defend against future cyber-attacks. However, existing approaches exhibit limitations in accurately identifying threat actors, leading to low precision and a signif…

Report links world’s top banks to social & environmental harms from mining https://news.mongabay.com/short-article/2025/09/report-links-worlds-top-banks-to-social-environmental-harms-from-mining/

Report links world’s top banks to social & environmental harms from mining
A new Forests and Finance Coalition report finds top financial institutions, including JPMorgan Chase, Bank of America and BlackRock, support mining companies linked to deforestation, land-grabs, contamination and Indigenous rights violations. According to the report, from 2016-24, major banks provided $493 billion in loans and underwriting to mining companies, including Glencore, Rio Tinto and Vale. […]

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
Francesco Vitale, Tommaso Zoppi, Francesco Flammini, Nicola Mazzocca
https://arxiv.org/abs/2509.10419 https://…

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
Ensuring the resilience of computer-based railways is increasingly crucial to account for uncertainties and changes due to the growing complexity and criticality of those systems. Although their software relies on strict verification and validation processes following well-established best-practices and certification standards, anomalies can still occur at run-time due to residual faults, system and environmental modifications that were unknown at design-time, or other emergent cyber-threat sce…

#Jura​frage: Meint § 44b #UrhG …
a) … „Text- und Data-Mining“ (also Text-Mining einerseits und Data-Mining andererseits) oder vielmehr
b) „Text-und-Data-Mining“ (gleichzeitiges Mining von Text und Daten)?
(Natürlich entspricht die „offizielle“ Schreibweise ohne Bindestriche nicht der …

US to take 10% stake in Trilogy Metals, Trump orders Alaska mining road permits
https://www.axios.com/2025/10/07/us-trilogy-metals-stake-trump-alaska-mining-road-permits

Generating Inputs for Grammar Mining using Dynamic Symbolic Execution
Andreas Pointner (University of Applied Sciences Upper Austria, Austria), Josef Pichler (University of Applied Sciences Upper Austria, Austria), Herbert Pr\"ahofer (Johannes Kepler University Linz, Austria)
https://arxiv.org/abs/2508.03832

Generating Inputs for Grammar Mining using Dynamic Symbolic Execution
A vast number of software systems include components that parse and process structured input. In addition to programming languages, which are analyzed by compilers or interpreters, there are numerous components that process standardized or proprietary data formats of varying complexity. Even if such components were initially developed and tested based on a specification, such as a grammar, numerous modifications and adaptations over the course of software evolution can make it impossible to pre…

Mining the Social Fabric: Unveiling Communities for Fake News Detection in Short Videos
Haisong Gong, Bolan Su, Xinrong Zhang, Jing Li, Qiang Liu, Shu Wu, Liang Wang
https://arxiv.org/abs/2508.07992

Mining the Social Fabric: Unveiling Communities for Fake News Detection in Short Videos
Short video platforms have become a major medium for information sharing, but their rapid content generation and algorithmic amplification also enable the widespread dissemination of fake news. Detecting misinformation in short videos is challenging due to their multi-modal nature and the limited context of individual videos. While recent methods focus on analyzing content signals-visual, textual, and audio-they often overlook implicit relationships among videos, uploaders, and events. To addre…

Crosslisted article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
- Unsupervised Atomic Data Mining via Multi-Kernel Graph Autoencoders for Machine Learning Force Fi...
Hong Sun, Joshua A. Vita, Amit Samanta, Vincenzo Lordi

LOKI: Proactively Discovering Online Scam Websites by Mining Toxic Search Queries
Pujan Paudel, Gianluca Stringhini
https://arxiv.org/abs/2509.12181 https://

LOKI: Proactively Discovering Online Scam Websites by Mining Toxic Search Queries
Online e-commerce scams, ranging from shopping scams to pet scams, globally cause millions of dollars in financial damage every year. In response, the security community has developed highly accurate detection systems able to determine if a website is fraudulent. However, finding candidate scam websites that can be passed as input to these downstream detection systems is challenging: relying on user reports is inherently reactive and slow, and proactive systems issuing search engine queries to …

📚 Zwei Online-Seminare mit Dr. Harald Müller
🔹 Urheberrecht in Bibliotheken und staatl. Institutionen
21. 10, 9:30–13:00 Uhr
👉 https://t1p.de/gkzpq
💡 Aktuelle rechtliche Rahmenbedingungen KI-Themen (z. B. Text & Data Mining). TN können vorab Fragen einreichen
🔹 Bibliotheken urheberrech…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
Huu-Tai Phung, Zong-Lin Gao, Yi-Chen Yao, Kuan-Wei Ho, Yi-Hsin Chen, Yu-Hsiang Lin, Alessandro Gnutti, Wen-Hsiao Peng
https://arxiv.org/abs/2510.12479

MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
This work, termed MH-LVC, presents a multi-hypothesis temporal prediction scheme that employs long- and short-term reference frames in a conditional residual video coding framework. Recent temporal context mining approaches to conditional video coding offer superior coding performance. However, the need to store and access a large amount of implicit contextual information extracted from past decoded frames in decoding a video frame poses a challenge due to excessive memory access. Our MH-LVC ov…

Application of association rule mining to assess forest species distribution in Italy considering abiotic and biotic factors
Valeria Aloisi, Sergio Noce, Italo Epicoco, Cristina Cipriano, Massimo Cafaro, Giuseppe Brundu, Lorenzo Arcidiaco, Donatella Spano, Giovanni Aloisio, Simone Mereu
https://arxiv.org/abs/2508.07076

Application of association rule mining to assess forest species distribution in Italy considering abiotic and biotic factors
Biodiversity monitoring represents a pressing global priority, and assessing forest community composition plays a crucial role due to its influence on ecosystem functions. The spatial distribution of forest species becomes essential for understanding biodiversity dynamics, territorial planning, aiding nature conservation and enhancing ecosystem resilience amid global change. Association Rule Mining, commonly applied to other scientific contexts, is now innovatively adopted in the ecological fie…

"UN meeting closes with no moratorium on deep-sea mining; groups lament"
#UN #UnitedNations #DeepSeaMining

UN meeting closes with no moratorium on deep-sea mining; groups lament
Civil groups expressed dismay as the 30th International Seabed Authority (ISA) session recently ended in Jamaica without a moratorium on deep-sea mining, a process of extracting minerals from the seafloor, which experts say can damage marine ecosystems. The ISA Council finished the second reading of the draft regulations for the commercial exploitation of deep-sea minerals. However, the […]

Analyse: Trumps Familie macht mit Kryptogeld mehr als eine Milliarde US-Dollar
Die Handelsfreigabe einer Kryptowährung und der Aktieneinstieg einer Mining-Firma haben Donald Trumps Familie viel Geld beschert, hat Bloomberg ermittelt.

SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms
Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl
https://arxiv.org/abs/2509.08482

SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms
Process mining aims to extract and analyze insights from event logs, yet algorithm metric results vary widely depending on structural event log characteristics. Existing work often evaluates algorithms on a fixed set of real-world event logs but lacks a systematic analysis of how event log characteristics impact algorithms individually. Moreover, since event logs are generated from processes, where characteristics co-occur, we focus on associational rather than causal effects to assess how stro…

A Methodological Framework for LLM-Based Mining of Software Repositories
Vincenzo De Martino, Joel Casta\~no, Fabio Palomba, Xavier Franch, Silverio Mart\'inez-Fern\'andez
https://arxiv.org/abs/2508.02233

A Methodological Framework for LLM-Based Mining of Software Repositories
Large Language Models (LLMs) are increasingly used in software engineering research, offering new opportunities for automating repository mining tasks. However, despite their growing popularity, the methodological integration of LLMs into Mining Software Repositories (MSR) remains poorly understood. Existing studies tend to focus on specific capabilities or performance benchmarks, providing limited insight into how researchers utilize LLMs across the full research pipeline. To address this gap,…

A loss of 60,000 jobs in and around academia is ~50% more than all coal mining jobs in the entire country.
https://bsky.app/profile/franzferdinand2.bsky.social/post/3lvjvdzol222m

Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
Shrestha Ghosh, Luca Giordano, Yujia Hu, Tuan-Phong Nguyen, Simon Razniewski
https://arxiv.org/abs/2510.07024

Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
LLMs are remarkable artifacts that have revolutionized a range of NLP and AI tasks. A significant contributor is their factual knowledge, which, to date, remains poorly understood, and is usually analyzed from biased samples. In this paper, we take a deep tour into the factual knowledge (or beliefs) of a frontier LLM, based on GPTKB v1.5 (Hu et al., 2025a), a recursively elicited set of 100 million beliefs of one of the strongest currently available frontier LLMs, GPT-4.1. We find that the mode…

Finding your MUSE: Mining Unexpected Solutions Engine
Nir Sweed, Hanit Hakim, Ben Wolfson, Hila Lifshitz, Dafna Shahaf
https://arxiv.org/abs/2509.05072 https://

Finding your MUSE: Mining Unexpected Solutions Engine
Innovators often exhibit cognitive fixation on existing solutions or nascent ideas, hindering the exploration of novel alternatives. This paper introduces a methodology for constructing Functional Concept Graphs (FCGs), interconnected representations of functional elements that support abstraction, problem reframing, and analogical inspiration. Our approach yields large-scale, high-quality FCGs with explicit abstraction relations, overcoming limitations of prior work. We further present MUSE, a…

Crosslisted article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- Identifying Information Technology Research Trends through Text Mining of NSF Awards
Said Varlioglu, Hazem Said, Murat Ozer, Nelly Elsayed

Exploring the economic promise and environmental costs of mining in Brazil #Brazil…

Exploring the economic promise and environmental costs of mining in Brazil
Mining in Brazil does not deliver the sustained economic benefits often claimed, while informal mining is a major driver of deforestation, especially in the Amazon. A new study offers one of the most comprehensive assessments to date, combining satellite imagery and economic data to analyze the environmental and economic impacts of mining at the municipal scale across Brazil.

Dual Pruning and Sorting-Free Overestimation for Average-Utility Sequential Pattern Mining
Kai Cao, Yucong Duan, Wensheng Gan
https://arxiv.org/abs/2510.04014 https://

Dual Pruning and Sorting-Free Overestimation for Average-Utility Sequential Pattern Mining
In a quantitative sequential database, numerous efficient algorithms have been developed for high-utility sequential pattern mining (HUSPM). HUSPM establishes a relationship between frequency and significance in the real world and reflects more crucial information than frequent pattern mining. However, high average-utility sequential pattern mining (HAUSPM) is deemed fairer and more valuable than HUSPM. It provides a reasonable measure for longer patterns by considering their length. In contras…

Neighborhood-Adaptive Generalized Linear Graph Embedding with Latent Pattern Mining
S. Peng, L. Hu, W. Zhang, B. Jie, Y. Luo
https://arxiv.org/abs/2510.05719 https://

Neighborhood-Adaptive Generalized Linear Graph Embedding with Latent Pattern Mining
Graph embedding has been widely applied in areas such as network analysis, social network mining, recommendation systems, and bioinformatics. However, current graph construction methods often require the prior definition of neighborhood size, limiting the effective revelation of potential structural correlations in the data. Additionally, graph embedding methods using linear projection heavily rely on a singular pattern mining approach, resulting in relative weaknesses in adapting to different …

The Vertex-Attribute-Constrained Densest $k$-Subgraph Problem
Qiheng Lu, Nicholas D. Sidiropoulos, Aritra Konar
https://arxiv.org/abs/2508.06655 https://ar…

The Vertex-Attribute-Constrained Densest $k$-Subgraph Problem
Dense subgraph mining is a fundamental technique in graph mining, commonly applied in fraud detection, community detection, product recommendation, and document summarization. In such applications, we are often interested in identifying communities, recommendations, or summaries that reflect different constituencies, styles or genres, and points of view. For this task, we introduce a new variant of the Densest $k$-Subgraph (D$k$S) problem that incorporates the attribute values of vertices. The …

Crosslisted article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
Heng Zhang, Chengzhi Zhang

U.S. to Take Equity Stake in Lithium Americas and Its Nevada Mining Project - WSJ
https://www.wsj.com/business/u-s-to-take-equity-stake-in-lithium-americas-and-its-nevada-mining-project-8938eab4

Arkham Intelligence claims to have uncovered a previously undisclosed heist of 127,426 BTC, now worth ~$14.5B, from Chinese mining pool LuBian in December 2020 (Zack Abrams/The Block)
https://www.theblock.co/post/365336/bitcoi

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

RevMine: An LLM-Assisted Tool for Code Review Mining and Analysis Across Git Platforms
Samah Kansab, Francis Bordeleau, Ali Tizghadam
https://arxiv.org/abs/2510.04796 https://…

RevMine: An LLM-Assisted Tool for Code Review Mining and Analysis Across Git Platforms
Empirical research on code review processes is increasingly central to understanding software quality and collaboration. However, collecting and analyzing review data remains a time-consuming and technically intensive task. Most researchers follow similar workflows - writing ad hoc scripts to extract, filter, and analyze review data from platforms like GitHub and GitLab. This paper introduces RevMine, a conceptual tool that streamlines the entire code review mining pipeline using large language…

"Restoring sea floor after mining may not be possible, researchers warn"
#Sea #Oceans #Mining

Restoring sea floor after mining may not be possible, researchers warn
Scientists present at the latest effort to hash out international rules for deep-sea mining say it's unclear if it's possible to restore damaged seafloor ecosystems—or how long it would take.

Dozens of coal miners and their families are protesting the Trump administration outside the Labor Department building,
arguing it has failed to protect them from black lung disease,
an incurable illness caused by inhaling coal and silica dust.
They have been waiting months for the government to enforce federal limits on silica dust,
a carcinogen that has led to a recent spike in the disease.
But mining industry groups have sued to block the rule,
and the T…

Coal Miners With Black Lung Say They Are ‘Cast Aside to Die’ Under Trump
President Trump has been a cheerleader for coal miners. But these miners say his administration is failing to enforce limits on a lethal workplace hazard.

DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
Yihong Wu, Jinqiao Wei, Xionghui Zhao, Yidi Li, Shaoyi Du, Bin Ren, Nicu Sebe
https://arxiv.org/abs/2509.02261

DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
Deep learning-based crowd counting methods have achieved remarkable progress in recent years. However, in complex crowd scenarios, existing models still face challenges when adapting to significant density distribution differences between regions. Additionally, the inconsistency of individual representations caused by viewpoint changes and body posture differences further limits the counting accuracy of the models. To address these challenges, we propose DSGC-Net, a Dual-Stream Graph Convolutio…

Peru seizes record 4-ton mercury shipment in fight against illegal gold mining https://news.mongabay.com/short-article/2025/07/peru-seizes-record-4-ton-mercury-shipment-in-fight-against-illegal-gold-mining/

Peru seizes record 4-ton mercury shipment in fight against illegal gold mining
BOGOTA, Colombia (AP) — Peruvian customs officials have seized a record-breaking shipment of illegal mercury, exposing a cross-border smuggling network fueling illicit gold mining in the Amazon. The 4-ton haul, discovered in June at the port of Callao, was hidden in gravel bags and bound for Bolivia, officials said on Thursday. Experts say it could […]

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems
Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Aditya Mathur, Muhammad Taha Jilani
https://arxiv.org/abs/2508.04561

Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems
This work focuses on validation of attack pattern mining in the context of Industrial Control System (ICS) security. A comprehensive security assessment of an ICS requires generating a large and variety of attack patterns. For this purpose we have proposed a data driven technique to generate attack patterns for an ICS. The proposed technique has been used to generate over 100,000 attack patterns from data gathered from an operational water treatment plant. In this work we present a detailed cas…

LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
Vira Pyrih, Adrian Rebmann, Han van der Aa
https://arxiv.org/abs/2508.16270 https://…

LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
Process mining is increasingly using textual information associated with events to tackle tasks such as anomaly detection and process discovery. Such semantics-aware process mining focuses on what behavior should be possible in a process (i.e., expectations), thus providing an important complement to traditional, frequency-based techniques that focus on recorded behavior (i.e., reality). Large Language Models (LLMs) provide a powerful means for tackling semantics-aware tasks. However, the best …

Satellite data show burst of deforestation in Myanmar rare earth mining hotspots https://news.mongabay.com/2025/09/satellite-data-show-burst-of-deforestation-in-myanmar-rare-earth-mining-hotspots/

Satellite data show burst of deforestation in Myanmar rare earth mining hotspots
Myanmar’s Kachin state, near the border with China, is a global hub for rare earth minerals. But the dearth of regulations over mining these resources has come at a steep cost to the area’s subtropical and moist forests, according to researchers and satellite imagery collected by Mongabay. Civil society sources in the region, who requested […]

Storage places in diplomatic texts (7th-13th centuries). Lexical, semantic, and digital investigation
Nicolas Perreaux (LAMOP, CNRS)
https://arxiv.org/abs/2509.12230 https://

Storage places in diplomatic texts (7th-13th centuries). Lexical, semantic, and digital investigation
This study examines the evolution of references to grain storage structures in medieval European charters, based on a quantitative and semantic analysis of the digitized CEMA (Cartae Europae Medii Aevi) corpus comprising more than 225,000 documents. The author applies text mining and distributional analysis methods to a lexicon of some forty terms designating storage locations (grangia, horreum, granarium, granica, etc.), cross-referencing these data with references to grain and analyzing their…

Log2Plan: An Adaptive GUI Automation Framework Integrated with Task Mining Approach
Seoyoung Lee, Seonbin Yoon, Seongbeen Lee, Hyesoo Kim, Joo Yong Sim
https://arxiv.org/abs/2509.22137

Log2Plan: An Adaptive GUI Automation Framework Integrated with Task Mining Approach
GUI task automation streamlines repetitive tasks, but existing LLM or VLM-based planner-executor agents suffer from brittle generalization, high latency, and limited long-horizon coherence. Their reliance on single-shot reasoning or static plans makes them fragile under UI changes or complex tasks. Log2Plan addresses these limitations by combining a structured two-level planning framework with a task mining approach over user behavior logs, enabling robust and adaptable GUI automation. Log2Plan…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Etwas mehr der heute besonders häufig geteilten #News:
Analyse: Trumps Familie macht mit Kryptogeld mehr als eine Milliarde US-Dollar

Governments Fail to 'Rise to the Moment' as Seabed Meeting Ends Without Mining Pause | Common Dreams
https://www.commondreams.org/news/no-deep-sea-mining-pause

The White House will open 13.1m acres of public land to coal mining
while providing $625m for coal-fired power plants, the Trump administration has announced
https://www.theguardian.com/us-news/2025/sep/29/trump-spending-coal-industry…

Google agrees to guarantee $1.4B of AI computing startup Fluidstack's $3B, 10-year agreement with Cipher Mining and gets the right to buy a 5.4% stake in Cipher (Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-2…

Let's Simply Count: Quantifying Distributional Similarity Between Activities in Event Data
Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Xixi Lu, Matthias Weidlich
https://arxiv.org/abs/2509.09440

Let's Simply Count: Quantifying Distributional Similarity Between Activities in Event Data
To obtain insights from event data, advanced process mining methods assess the similarity of activities to incorporate their semantic relations into the analysis. Here, distributional similarity that captures similarity from activity co-occurrences is commonly employed. However, existing work for distributional similarity in process mining adopt neural network-based approaches as developed for natural language processing, e.g., word2vec and autoencoders. While these approaches have been shown t…

Oops!... I did it again. Conclusion (In-)Stability in Quantitative Empirical Software Engineering: A Large-Scale Analysis
Nicole Hoess, Carlos Paradis, Rick Kazman, Wolfgang Mauerer
https://arxiv.org/abs/2510.06844

Oops!... I did it again. Conclusion (In-)Stability in Quantitative Empirical Software Engineering: A Large-Scale Analysis
Context: Mining software repositories is a popular means to gain insights into a software project's evolution, monitor project health, support decisions and derive best practices. Tools supporting the mining process are commonly applied by researchers and practitioners, but their limitations and agreement are often not well understood. Objective: This study investigates some threats to validity in complex tool pipelines for evolutionary software analyses and evaluates the tools' agreement in …

What’s at stake for the environment in Bolivia’s upcoming elections? https://news.mongabay.com/2025/08/whats-at-stake-for-the-environment-in-bolivias-upcoming-elections/

What’s at stake for the environment in Bolivia’s upcoming elections?
Bolivians will go to the polls on Aug. 17 to vote for a new president, vice president and 166 combined members of the Senate and the Chamber of Deputies. When it comes to environmental policies, the country has many important decisions to make about climate change commitments, development of the lithium industry, illegal gold mining, […]

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

A profile of Zachary Cefaratti, a below-the-radar dealmaker for data centers, crypto mining, and tech groups in the Gulf through his advisory firm Dalma Capital (Chloe Cornish/Financial Times)
https://www.ft.com/content/3145e08c-9316-4d52-846e-25700402aa16

Inner-product Functional Encryption with Fine-grained Revocation for Flexible EHR Sharing
Yue Han, Jinguang Han, Liqun Chen, Chao Sun
https://arxiv.org/abs/2509.07804 https://…

Inner-product Functional Encryption with Fine-grained Revocation for Flexible EHR Sharing
E-health record (EHR) contains a vast amount of continuously growing medical data and enables medical institutions to access patient health data conveniently.This provides opportunities for medical data mining which has important applications in identifying high-risk patients and improving disease diagnosis, etc.Since EHR contains sensitive patient information, how to protect patient privacy and enable mining on EHR data is important and challenging.Traditional public key encryption (PKE) can p…

Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy
https://arxiv.org/abs/2508.15569 …

Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
Understanding the nuanced performance of machine learning models is essential for responsible deployment, especially in high-stakes domains like healthcare and finance. This paper introduces a novel framework, Conformalized Exceptional Model Mining, which combines the rigor of Conformal Prediction with the explanatory power of Exceptional Model Mining (EMM). The proposed framework identifies cohesive subgroups within data where model performance deviates exceptionally, highlighting regions of b…

We haven’t mined on the moon yet, but companies are already buying its resources.

Finnish tech firm Bluefors,
a maker of ultracold refrigerator systems critical for quantum computing,
has purchased tens of thousands of liters of Helium-3 from the moon
— spending “above $300 million”
— through a commercial space company called Interlune.
The agreement, which has not been previously reported, marks the largest purchase of a natural resource from space
…

Moon helium deal is biggest purchase of natural resources from space
The feasibility of moon mining is not yet proven, but the future of supercomputing may depend on the ability to extract Helium-3 from the lunar surface.

Cross-Organizational Analysis of Parliamentary Processes: A Case Study
Paul-Julius Hillmann, Stephan A. Fahrenkrog-Petersen, Jan Mendling
https://arxiv.org/abs/2508.10381 https:…

Cross-Organizational Analysis of Parliamentary Processes: A Case Study
Process Mining has been widely adopted by businesses and has been shown to help organizations analyze and optimize their processes. However, so far, little attention has gone into the cross-organizational comparison of processes, since many companies are hesitant to share their data. In this paper, we explore the processes of German state parliaments that are often legally required to share their data and run the same type of processes for different geographical regions. This paper is the first…

Machine learning approaches to seismic event classification in the Ostrava region
Marek Pecha, Michael Skotnica, Jana Ru\v{s}ajov\'a, Bohdan Rieznikov, V\'it Wandrol, Mark\'eta R\"osnerov\'a, Jarom\'ir Knejzl\'ik
https://arxiv.org/abs/2509.22574

Machine learning approaches to seismic event classification in the Ostrava region
The northeastern region of the Czech Republic is among the most seismically active areas in the country. The most frequent seismic events are mining-induced since there used to be strong mining activity in the past. However, natural tectonic events may also occur. In addition, seismic stations often record explosions in quarries in the region. Despite the cessation of mining activities, mine-induced seismic events still occur. Therefore, a rapid differentiation between tectonic and anthropogeni…

Illness, animal deaths and water shortages: life inside Chile’s polluted ‘sacrifice zones’ https://www.theguardian.com/global-development/2025/sep/22/illness-animal-deaths-water-shortages-chile-po…

Stop Deep Sea Mining before it starts #environment

Restoring sea floor after mining may not be possible, researchers warn #environment

Restoring sea floor after mining may not be possible, researchers warn
Scientists present at the latest effort to hash out international rules for deep-sea mining say it's unclear if it's possible to restore damaged seafloor ecosystems—or how long it would take.