Tootfinder

Power from the Blazing Stone ⛏️🔮😇
Narrated scifi series | Time is running out for Merryn! In this utopic vision of the deep future of mining, a young girl and her CL500 Mining Unit are in search of fabled Cornish lithium.
This was an artwork collaboration with Cornish Lithium, the first lithium mine in Europe.
1 seasons, 5 epis...

Power from the Blazing Stone ⛏️🔮😇
Narrated scifi series | Time is running out for Merryn! In this utopic vision of the deep future of mining, a young girl and her CL500 Mining Unit are in search of fabled Cornish lithium. This was an artwork collaboration with Cornish Lithium, the first lithium mine in Europe. 1 seasons, 5 episodes as of Jan 09, 2021.

Largest mining and processing plant in Russia comes under Ukrainian drone attack: https://benborges.xyz/2024/04/11/largest-mining-and.html

Power from the Blazing Stone ⛏️🔮😇
Narrated scifi series | Time is running out for Merryn! In this utopic vision of the deep future of mining, a young girl and her CL500 Mining Unit are in search of fabled Cornish lithium.
This was an artwork collaboration with Cornish Lithium, the first lithium mine in Europe.
1 seasons, 5 epis...

Power from the Blazing Stone ⛏️🔮😇
Narrated scifi series | Time is running out for Merryn! In this utopic vision of the deep future of mining, a young girl and her CL500 Mining Unit are in search of fabled Cornish lithium. This was an artwork collaboration with Cornish Lithium, the first lithium mine in Europe. 1 seasons, 5 episodes as of Jan 09, 2021.

Educational data mining and learning analytics: An updated survey
C. Romero, S. Ventura
https://arxiv.org/abs/2402.07956 https://arxi…

Educational data mining and learning analytics: An updated survey
This survey is an updated and improved version of the previous one published in 2013 in this journal with the title data mining in education. It reviews in a comprehensible and very general way how Educational Data Mining and Learning Analytics have been applied over educational data. In the last decade, this research area has evolved enormously and a wide range of related terms are now used in the bibliography such as Academic Analytics, Institutional Analytics, Teaching Analytics, Data-Driven…

From The Narwhal
A mineral rush and a hiring crisis: Canadian mining’s ‘dirty’ image is scaring off recruits
Pick axes and coal dust aren’t selling a new generation on jobs in mining. Can the industry clean up its reputation — and act — to meet the demand for critical minerals?

A mineral rush and a hiring crisis: Canadian mining’s ‘dirty’ image is scaring off recruits
Pick axes and coal dust aren’t selling a new generation on jobs in mining. Can the industry clean up its reputation — and act — to meet the demand for critical minerals?

The US orders Chinese-linked crypto mining company MineOne to sell property it bought near an Air Force base in Wyoming, citing national security risk (Reuters)
https://www.reuters.com/world/us/us-force-china-linked-firm-sell…

Tribes Meeting With Inter-American Commission on Human Rights Describe Harms Uranium Mining Has Had on Them, and the Threats New Mines Pose - Inside Climate News
https://insideclimatenews.org/news/10032024/southwest-uranium-mining-harms-tribes/…

Tribes Meeting With Inter-American Commission on Human Rights Describe Harms Uranium Mining Has Had on Them, and the Threats New Mines Pose - Inside Climate News
As spiking uranium prices drive a surge of proposals for new mines, the Navajo Nation joined the Ute Mountain Ute, Havasupai, Northern Arapaho and Oglala Sioux tribes in a commission hearing with federal officials to push back against mining on and near their lands.

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
…

This company intends to be the first to mine the moon
Nearly a decade ago, Congress passed a law that allows private American space companies the rights to resources they mine on celestial bodies, including the moon.

Now, there’s a private venture that says it intends to do just that.

Founded by a pair of former executives from Blue Origin, the space venture founded by Jeff Bezos, and an Apollo astronaut, the company, Interlune, announced itself publicly Wednesday by sayin…

This company intends to be the first to mine the moon
Nearly a decade ago, Congress passed a law that allows private American space companies the rights to resources they mine on celestial bodies, including the moon.. Now a company has said it wants to take advantage of that law.

Kory Stamper (and the entire lexicography team at dictionary.com) laid off after acquisition
😡🤬✊ Solidarity forever against stupid strip mining capital firms
https://sfba.social/@jeridansky/112265742303212645
I miss @…

This https://arxiv.org/abs/2403.04780 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
Graphs with abundant attributes are essential in modeling interconnected entities and improving predictions in various real-world applications. Traditional Graph Neural Networks (GNNs), which are commonly used for modeling attributed graphs, need to be re-trained every time when applied to different graph tasks and datasets. Although the emergence of Large Language Models (LLMs) has introduced a new paradigm in natural language processing, the generative potential of LLMs in graph mining remain…

Another song for our times - a response for when right wingers espouse coal mining without measuring the costs in environmental and ... per this song - human terms:
https://youtu.be/ebJFulmETMA

Also die Existenz und Handel von #bitcoins belaufen sich auf über 90Mio Tonnen CO2 Ausstoss pro Jahr. Der der #Schweiz ist mit 45Mio Tonnen CO2 halb so gross.
Wir sollen aber nun alle #Vegan werden und nich…

Bitcoin verursacht Millionen Tonnen CO₂ pro Jahr – fast doppelt so viel wie die Schweiz
Der Bitcoin hat derzeit einen doppelt so grossen CO₂-Fussabdruck wie die Schweiz. Dies geht aus einer Auswertung des Krypto-Portals Digiconomist hervor.

@… I’m definitely not arguing that a ban is the right move. But simultaneously: Job loss cannot itself be a reason not to do something.
If we stop mining coal, miners might be out of a job. But the preservation of those jobs is not worth the continued destruction of the climate.

@… : «Don't take my word for it: despite the upwards bitcoin price movement — in the past, fairly well correlated with stock prices for publicly traded bitcoin mining operations — bitcoin mining stocks have been trending down in recent months: likely in anticipation of post-halving chaos in the sector.»

From The Narwhal
A mineral rush and a hiring crisis: Canadian mining’s ‘dirty’ image is scaring off recruits
Pick axes and coal dust aren’t selling a new generation on jobs in mining. Can the industry clean up its reputation — and act — to meet the demand for critical minerals?

A mineral rush and a hiring crisis: Canadian mining’s ‘dirty’ image is scaring off recruits
Pick axes and coal dust aren’t selling a new generation on jobs in mining. Can the industry clean up its reputation — and act — to meet the demand for critical minerals?

Minister: Ukraine to mass-produce robots to 'minimize human involvement on battlefield': https://benborges.xyz/2024/03/12/minister-ukraine-to.html

"They put us in labor camps"
[Clip of people mining with lasers]
So they took farmers, who farm for a living, doing manual labor farming, where food is scarce, and they put them in … mining camps
Hmmm. 🤔
#RebelMoon

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Yingtao Ren, Xiaomin Zhu, Kaiyuan Bai, Runtong Zhang
https://arxiv.org/abs/2403.07363 h…

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Classification is essential to the applications in the field of data mining, artificial intelligence, and fault detection. There exists a strong need in developing accurate, suitable, and efficient classification methods and algorithms with broad applicability. Random forest is a general algorithm that is often used for classification under complex conditions. Although it has been widely adopted, its combination with diverse fuzzy theory is still worth exploring. In this paper, we propose the i…

Yeah. Diesel drivers feeling aggrieved about motoring representatives pointing out that new RUCs disproportionately affect EV drivers based on impact (on roads & environment in general). Yes, both sorts of vehicles have mining & manufacturing cost (about equal) but diesel & petrol drivers forget the evidence shows the fuel supply line they depend on - getting it to them & them burning it in situ - exacts a far greater cost on the world than EVs, per kilometer.

This https://arxiv.org/abs/2207.13478 has been replaced.
link: https://scholar.google.com/scholar?q=a

Partial Selfish Mining for More Profits
Mining attacks aim to gain an unfair share of extra rewards in the blockchain mining. Selfish mining can preserve discovered blocks and strategically release them, wasting honest miners' computing resources and getting higher profits. Previous mining attacks either conceal the mined whole blocks (hiding or discarding), or release them completely in a particular time slot (e.g., causing a fork). In this paper, we extend the mining attack's strategy space to partial block sharing, and propose a n…

This https://arxiv.org/abs/2403.04780 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
Graphs with abundant attributes are essential in modeling interconnected entities and improving predictions in various real-world applications. Traditional Graph Neural Networks (GNNs), which are commonly used for modeling attributed graphs, need to be re-trained every time when applied to different graph tasks and datasets. Although the emergence of Large Language Models (LLMs) has introduced a new paradigm in natural language processing, the generative potential of LLMs in graph mining remain…

This https://arxiv.org/abs/2304.07531 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Mining for Cost Awareness in the Infrastructure as Code Artifacts of Cloud-based Applications: an Exploratory Study
Context: The popularity of cloud computing as the primary platform for developing, deploying, and delivering software is largely driven by the promise of cost savings. Therefore, it is surprising that no empirical evidence has been collected to determine whether cost awareness permeates the development process and how it manifests in practice. Objective: This study aims to provide empirical evidence of cost awareness by mining open source repositories of cloud-based applications. The focus is o…

"Boom in mining for renewable energy minerals threatens Africa’s great apes"
#Africa #Apes #Animals

So nun ist die Osterpause rum. Am 16. April freuen wir uns auf das DGI-Onlineseminar mit Fabian Rack zu Rechtsfragen rund um #textmining und #datamining. Infos und Anmeldung unter:

⚒️ Mining industry touts green pledges to attract talent, but Gen Z isn’t buying it
https://news.mongabay.com/2024/03/mining-industry-touts-green-pledges-to-attract-talent-but-gen-z-isnt-buying-it/

Mining industry touts green pledges to attract talent, but Gen Z isn’t buying it
Tripling global renewable energy capacity was one of the headline commitments coming out of last year’s U.N. climate conference in Dubai. And increased mining of critical minerals, which are vital to feed these technologies, was a focal point at this year’s Mining Indaba, the world’s largest mining investment conference, held annually in South Africa. As […]

@… : «Don't take my word for it: despite the upwards bitcoin price movement — in the past, fairly well correlated with stock prices for publicly traded bitcoin mining operations — bitcoin mining stocks have been trending down in recent months: likely in anticipation of post-halving chaos in the sector.»

#Minnesota lawmakers propose environmental regulations, royalty tax on Pulsar #helium project #mining

Minnesota lawmakers propose environmental regulations, royalty tax on Pulsar helium project
State officials fear Pulsar Helium could move ahead with a novel drilling operation in northeastern Minnesota with few environmental regulations and no way to get money for gas drawn from under state land.

Mining Influential Spreaders in Complex Networks by an Effective Combination of the Degree and K-Shell
Shima Esfandiari, Seyed Mostafa Fakhrahmad
https://arxiv.org/abs/2405.07277 …

ACMI: An index for exposed coal mapping using Landsat imagery
Zhen Yang, Jianyong Zhang, Yanchuang Zhao
https://arxiv.org/abs/2403.07220 https://

ACMI: An index for exposed coal mapping using Landsat imagery
Remotely sensing the spatial distribution of exposed coal (EC) is significant for understanding the footprints of mining activities. However, widely applicable methods for the identification of EC surfaces remain inadequate because the choices of recent methods confront the diverse EC types and backgrounds. Therefore, this study proposed a new Automated Coal Mapping Index (ACMI) which was empirically formulated by an iterative process of identifying parameters that maximize the separability of …

Can Bitcoin mining really support renewable energy? Nope, in most cases. - The Verge https://www.theverge.com/24112638/cryptocurrency-bitcoin-mining-renewable-energy-hydrogen-study

Can Bitcoin mining really support renewable energy?
New research assesses whether Bitcoin mining can boost renewable energy and green hydrogen production. But in the real world, Bitcoin still generates a lot of pollution.

In the deep #oceans, things change slowly, but the press for deep-sea #mining of polymetal deposits is changing quickly. Without regulation, large tracks of the still not well-documented Abyssal Plain #benthos …

Deep-sea expedition captures stunning images of creatures in Pacific mining zone
Ancient glass sponges. A Barbie-pink sea pig sauntering along the seafloor. A transparent unicumber hovering in the depths.

This https://arxiv.org/abs/2201.10106 has been replaced.
link: https://scholar.google.com/scholar?q=a

On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment
Graph alignment aims at finding the vertex correspondence between two correlated graphs, a task that frequently occurs in graph mining applications such as social network analysis. Attributed graph alignment is a variant of graph alignment, in which publicly available side information or attributes are exploited to assist graph alignment. Existing studies on attributed graph alignment focus on either theoretical performance without computational constraints or empirical performance of efficient…

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Yingtao Ren, Xiaomin Zhu, Kaiyuan Bai, Runtong Zhang
https://arxiv.org/abs/2403.07363 h…

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Classification is essential to the applications in the field of data mining, artificial intelligence, and fault detection. There exists a strong need in developing accurate, suitable, and efficient classification methods and algorithms with broad applicability. Random forest is a general algorithm that is often used for classification under complex conditions. Although it has been widely adopted, its combination with diverse fuzzy theory is still worth exploring. In this paper, we propose the i…

NY appellate court greenlights challenge of #crypto-mining power plant | Courthouse News Service
https://www.courthousenews.com/new-york-a…

NY appellate court greenlights challenge of crypto-mining power plant
Environmental groups claim that the project would increase the power plant’s emissions by up to 3,500%.

This https://arxiv.org/abs/2310.02612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Top-k contrast order-preserving pattern mining
Recently, order-preserving pattern (OPP) mining, a new sequential pattern mining method, has been proposed to mine frequent relative orders in a time series. Although frequent relative orders can be used as features to classify a time series, the mined patterns do not reflect the differences between two classes of time series well. To effectively discover the differences between time series, this paper addresses the top-k contrast OPP (COPP) mining and proposes a COPP-Miner algorithm to discove…

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
…

"Boom in mining for renewable energy minerals threatens Africa’s great apes"
#Africa #Apes #Animals

⚒️ Mining industry touts green pledges to attract talent, but Gen Z isn’t buying it
https://news.mongabay.com/2024/03/mining-industry-touts-green-pledges-to-attract-talent-but-gen-z-isnt-buying-it/

Mining industry touts green pledges to attract talent, but Gen Z isn’t buying it
Tripling global renewable energy capacity was one of the headline commitments coming out of last year’s U.N. climate conference in Dubai. And increased mining of critical minerals, which are vital to feed these technologies, was a focal point at this year’s Mining Indaba, the world’s largest mining investment conference, held annually in South Africa. As […]

This https://arxiv.org/abs/2307.00529 has been replaced.
link: https://scholar.google.com/scholar?q=a

New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata
In this paper, we address the critical challenges of double-spending and selfish mining attacks in blockchain-based digital currencies. Double-spending is a problem where the same tender is spent multiple times during a digital currency transaction, while selfish mining is an intentional alteration of a blockchain to increase rewards to one miner or a group of miners. We introduce a new attack that combines both these attacks and propose a machine learning-based solution to mitigate the risks a…

This https://arxiv.org/abs/2312.08537 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Object-Centric Conformance Alignments with Synchronization (Extended Version)
Real-world processes operate on objects that are inter-dependent. To accurately reflect the nature of such processes, object-centric process mining techniques are needed, notably conformance checking. However, while the object-centric perspective has recently gained traction, few concrete process mining techniques have been presented so far. Moreover, existing approaches are severely limited in their abilities to keep track of object identity and object dependencies. Consequently, serious probl…

Up to a third of Africa’s great apes are threatened by a boom in mining projects for minerals required for the renewable energy transition, new research shows.
An estimated 180,000 gorillas, bonobos and chimpanzees are at risk due to an increase in demand for critical minerals such as copper, lithium, nickel and cobalt, a study has found. Many of those minerals are required for clean energy technologies such as wind turbines and electric cars.
Researchers say the boom in demand is…

Campaigning can be effective.
#Indonesia really runs the risk of having its #mining and EV mineral sector completely dependent on a single country, #China.

Dynasty Fantasy Football: Mining the 2024 NFL Draft for value buys from Day 3 to target in your rookie drafts

https://www.cbsspo…

Dynasty Fantasy Football: Mining the 2024 NFL Draft for value buys from Day 3 to target in your rookie drafts
These Day 3 draft picks belong on every Dynasty roster

Auch wenn’s so schön war. Wir sind zurück aus der Osterpause und starten am 16. April mit unserem DGI-Onlineseminar Rechtsfragen rund um #textmining und #datamining mit Fabian Rack -

Mining Potentially Explanatory Patterns via Partial Solutions
GianCarlo Catalano, Alexander E. I. Brownlee, David Cairns, John McCall, Russell Ainslie
https://arxiv.org/abs/2404.04388

Mining Potentially Explanatory Patterns via Partial Solutions
Genetic Algorithms have established their capability for solving many complex optimization problems. Even as good solutions are produced, the user's understanding of a problem is not necessarily improved, which can lead to a lack of confidence in the results. To mitigate this issue, explainability aims to give insight to the user by presenting them with the knowledge obtained by the algorithm. In this paper we introduce Partial Solutions in order to improve the explainability of solutions to co…

Proof mining and probability theory
Morenikeji Neri, Nicholas Pischke
https://arxiv.org/abs/2403.00659 https://arxiv.org/pdf/2403.006…

Proof mining and probability theory
We extend the theoretical framework of proof mining by establishing general logical metatheorems that allow for the extraction of the computational content of theorems with prima facie "non-computational" proofs from probability theory, thereby unlocking a major branch of mathematics as a new area of application for these methods. Concretely, we devise proof-theoretically tame logical systems that, for one, allow for the formalization of proofs involving algebras of sets together with probabili…

April's Bitcoin halving will slash revenue for miners, who will likely move from the US to lower-cost countries like Ethiopia, Tanzania, Paraguay, and Uruguay (David Pan/Bloomberg)
https://www.bloomberg.com/news/articles/20

Crypto: Bitcoin ‘Halving’ Spurs Exodus of Old US Mining Computers Abroad
About 6,000 older Bitcoin mining machines in the US will soon be idled and sent to a warehouse in Colorado Springs where they’ll be refreshed and resold to buyers overseas looking to profit from mining in lower-cost environs.

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
…

"Mining industry touts green pledges to attract talent, but Gen Z isn’t buying it"
#Industry
https://news.mongabay.com/2024/03/mini…

Mining industry touts green pledges to attract talent, but Gen Z isn’t buying it
Tripling global renewable energy capacity was one of the headline commitments coming out of last year’s U.N. climate conference in Dubai. And increased mining of critical minerals, which are vital to feed these technologies, was a focal point at this year’s Mining Indaba, the world’s largest mining investment conference, held annually in South Africa. As […]

This https://arxiv.org/abs/2401.17775 has been replaced.
link: https://scholar.google.com/scholar?q=a

Predicting quantum evolutions of excitation energy transfer in a light-harvesting complex using multi-optimized recurrent neural networks
Constructing models to discover physics underlying magnanimous data is a traditional strategy in data mining which has been proved to be powerful and successful. In this work, a multi-optimized recurrent neural network (MRNN) is utilized to predict the dynamics of photosynthetic excitation energy transfer (EET) in a light-harvesting complex. The original data set produced by the master equation were trained to forecast the EET evolution. An agreement between our prediction and the theoretical d…

Accurate and Fast Approximate Graph Pattern Mining at Scale
Anna Arpaci-Dusseau, Zixiang Zhou, Xuhao Chen
https://arxiv.org/abs/2405.03488 https://<…

Accurate and Fast Approximate Graph Pattern Mining at Scale
Approximate graph pattern mining (A-GPM) is an important data analysis tool for many graph-based applications. There exist sampling-based A-GPM systems to provide automation and generalization over a wide variety of use cases. However, there are two major obstacles that prevent existing A-GPM systems being adopted in practice. First, the termination mechanism that decides when to end sampling lacks theoretical backup on confidence, and is unstable and slow in practice. Second, they suffer poor …

CaDRec: Contextualized and Debiased Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu
https://arxiv.org/abs/2404.06895

CaDRec: Contextualized and Debiased Recommender Model
Recommender models aimed at mining users' behavioral patterns have raised great attention as one of the essential applications in daily life. Recent work on graph neural networks (GNNs) or debiasing methods has attained remarkable gains. However, they still suffer from (1) over-smoothing node embeddings caused by recursive convolutions with GNNs, and (2) the skewed distribution of interactions due to popularity and user-individual biases. This paper proposes a contextualized and debiased recomm…

Mining and Refining: Uranium and Plutonium
https://poliverso.org/display/0477a01e-9936a942-fe9bcbe49576f155
Mining and Refining: Uranium and Plutonium When I was a kid we used to go to a place we just called “The Book Barn.” It was pretty descriptiv…

The standard should be a complete ban on deep sea mining. https://assortedflotsam.com/@NewsBot/112365648323684510

5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024) is co-organized by my colleagues from @…, co-located with SIGIR 2024.
paper deadline: April 25, 2024
website: http://

GuptiMiner: Hijacking Antivirus Updates for Distributing Backdoors and Casual Mining - Avast Threat Labs https://decoded.avast.io/janrubin/guptiminer-hijacking-antivirus-updates-for-distributing-backdoors-and-casual-mining/#storing-payloads-in-registry

This https://arxiv.org/abs/2401.01751 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Text mining arXiv: a look through quantitative finance papers
This paper explores articles hosted on the arXiv preprint server with the aim to uncover valuable insights hidden in this vast collection of research. Employing text mining techniques and through the application of natural language processing methods, we examine the contents of quantitative finance papers posted in arXiv from 1997 to 2022. We extract and analyze crucial information from the entire documents, including the references, to understand the topics trends over time and to find out the…

This https://arxiv.org/abs/2304.13406 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Onset of a conceptual outline map to get a hold on the jungle of cluster analysis
The domain of cluster analysis is a meeting point for a very rich multidisciplinary encounter, with cluster-analytic methods being studied and developed in discrete mathematics, numerical analysis, statistics, data analysis, data science, and computer science (including machine learning, data mining, and knowledge discovery), to name but a few. The other side of the coin, however, is that the domain suffers from a major accessibility problem as well as from the fact that it is rife with divisio…

Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, Evaluation Strategies, and Future Challenges
Alessandro Berti, Humam Kourani, Hannes Hafke, Chiao-Yun Li, Daniel Schuster
https://arxiv.org/abs/2403.06749

April's Bitcoin halving will slash revenue for miners, who will likely move from the US to lower-cost countries like Ethiopia, Tanzania, Paraguay, and Uruguay (David Pan/Bloomberg)
https://www.bloomberg.com/news/articles/20

Crypto: Bitcoin ‘Halving’ Spurs Exodus of Old US Mining Computers Abroad
About 6,000 older Bitcoin mining machines in the US will soon be idled and sent to a warehouse in Colorado Springs where they’ll be refreshed and resold to buyers overseas looking to profit from mining in lower-cost environs.

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
…

"Deep-sea mining’s future still murky as negotiations end on mixed note"
#Mining #Industry #DeepSeaMining

Deep-sea mining’s future still murky as negotiations end on mixed note
Deep-sea mining could begin in international waters as early as next year, yet policymakers are still disputing how to govern such activities. Between March 18 and 29, representatives from the 36 member states of the council of the International Seabed Authority (ISA), the U.N.-affiliated regulator of deep-sea mining activities in international waters, met for talks […]

This https://arxiv.org/abs/2403.19171 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Mining Bug Repositories for Multi-Fault Programs
Datasets such as Defects4J and BugsInPy that contain bugs from real-world software projects are necessary for a realistic evaluation of automated debugging tools. However these datasets largely identify only a single bug in each entry, while real-world software projects (including those used in Defects4J and BugsInPy) typically contain multiple bugs at the same time. We lift this limitation and describe an extension to these datasets in which multiple bugs are identified in individual entries. …

Women #mining for emeralds in Colombia | AP News
https://apnews.com/article/colombia-emeralds-women-mining-fc7e1503049bad3815d75fdf80099f52

Women blast through gender barriers in Colombia's emerald mines, but struggle to emerge from poverty
Deep inside mountain tunnels in Colombia where the heat is so intense it causes headaches, women with power tools are chipping away at boulders in search of gems. They have opened a difficult path for themselves in the emerald industry, a sector long dominated by men. Some once believed that if women worked in the mines, the emeralds would hide. Now female miners are pushing for the government to officially recognize them and to legalize a small number of women-owned mines. The work is hard, an…

The US government has suspended its effort to survey #cryptocurrency #mining operations over their ballooning energy use following a lawsuit from an industry that has been accused by environmental groups of fueling the climate crisis.
A federal judge in Texas has granted a temporary order

🐟 Communities worry anew as PNG revives seabed mining plans
https://news.mongabay.com/2024/03/communities-worry-anew-as-png-revives-seabed-mining-plans/

Communities worry anew as PNG revives seabed mining plans
KONO, Papua New Guinea — Chris Malgan sits in his outrigger canoe, singing and shaking a ring of coconut shells in the water next to the boat. The inky skies backdropping the reef portend a late-morning storm that will bring a deluge of rain and tumultuous seas, likely skunking any attempt to “call” sharks to […]

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Bin Lei
https://arxiv.org/abs/2404.04735 https://…

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Recent advancements in large language models, such as GPT-4, have demonstrated remarkable capabilities in processing standard queries. Despite these advancements, their performance substantially declines in \textbf{advanced mathematical problems requiring complex, multi-step logical reasoning}. To enhance their inferential capabilities, current research has delved into \textit{prompting engineering}, exemplified by methodologies such as the Tree of Thought and Graph of Thought. Nonetheless, the…

This https://arxiv.org/abs/2401.17775 has been replaced.
link: https://scholar.google.com/scholar?q=a

Predicting quantum evolutions of excitation energy transfer in a light-harvesting complex using multi-optimized recurrent neural networks
Constructing models to discover physics underlying magnanimous data is a traditional strategy in data mining which has been proved to be powerful and successful. In this work, a multi-optimized recurrent neural network (MRNN) is utilized to predict the dynamics of photosynthetic excitation energy transfer (EET) in a light-harvesting complex. The original data set produced by the master equation were trained to forecast the EET evolution. An agreement between our prediction and the theoretical d…

PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs
Alessandro Berti
https://arxiv.org/abs/2404.06035 https://arxiv.org/pdf…

PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs
pm4py is a process mining library for Python implementing several process mining (PM) artifacts and algorithms. It also offers methods to integrate PM with large language models (LLMs). This paper examines how the current paradigms of PM on LLM are implemented in pm4py, identifying challenges such as privacy, hallucinations, and the context window limit.

CaDRec: Contextualized and Debiased Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu
https://arxiv.org/abs/2404.06895

CaDRec: Contextualized and Debiased Recommender Model
Recommender models aimed at mining users' behavioral patterns have raised great attention as one of the essential applications in daily life. Recent work on graph neural networks (GNNs) or debiasing methods has attained remarkable gains. However, they still suffer from (1) over-smoothing node embeddings caused by recursive convolutions with GNNs, and (2) the skewed distribution of interactions due to popularity and user-individual biases. This paper proposes a contextualized and debiased recomm…

From The Narwhal
British Columbia’s multimillion-dollar mining problem
The true cost of cleaning up mine pollution in B.C. is growing, an investigation by The Globe and Mail and The Narwhal has found. If disaster strikes, taxpayers could be stuck with covering the costs
#mining #bcpoli

British Columbia’s multimillion-dollar mining problem
The true cost of cleaning up mine pollution in B.C. is growing, an investigation by The Globe and Mail and The Narwhal has found. If disaster strikes, taxpayers could be stuck with covering the costs

Women #mining for emeralds in Colombia | AP News
https://apnews.com/article/colombia-emeralds-women-mining-fc7e1503049bad3815d75fdf80099f52

Women blast through gender barriers in Colombia's emerald mines, but struggle to emerge from poverty
Deep inside mountain tunnels in Colombia where the heat is so intense it causes headaches, women with power tools are chipping away at boulders in search of gems. They have opened a difficult path for themselves in the emerald industry, a sector long dominated by men. Some once believed that if women worked in the mines, the emeralds would hide. Now female miners are pushing for the government to officially recognize them and to legalize a small number of women-owned mines. The work is hard, an…

US data center demand for AI and crypto mining are putting new pressures on an overtaxed power grid, as bottlenecks mount and utilities struggle to keep up (Evan Halper/Washington Post)
https://wapo.st/3IqeK6P

Amid explosive demand, America is running out of power
Artificial intelligence, data centers and the boom in clean-tech manufacturing are pushing America’s aging power grid to the brink. Utilities can’t keep up.

Gar nicht so lang her, aber weil es noch so viele Fragen gab, kommt hier der nächste Termin zu Rechtsfragen rund um #textmining und #datamining in der #Wissenschaft am 14.Mai mit Fabia…

As the United States hunts for critical minerals
—the materials underpinning vital technologies ranging from electric vehicle batteries to advanced weapons systems
—an increasing number of U.S. lawmakers from both major parties are urging the Biden administration to take its search 🔸under the sea. 🔸

Deep-Sea Mining for Critical Minerals: U.S. Lawmakers Urge UNCLOS Ratification
The scramble for critical minerals is heating up under the sea, but lawmakers fear the United States could be left behind.

🪸 In Graphic Detail: Deep-Sea Mining in the United States
https://hakaimagazine.com/videos-visuals/in-graphic-detail-deep-sea-mining-in-the-united-states/

In Graphic Detail: Deep-Sea Mining in the United States | Hakai Magazine
Where could the United States mine in its own seabed?

This is an example of how corporations are killing us. They're sawing off the branch on which we're all sitting. This has to stop. https://www.rnz.co.nz/news/ldr/515487/west-coast-mine-proposal-gets-council-go-ahead

Combinational Nonuniform Timeslicing of Dynamic Networks
Seokweon Jung, DongHwa Shin, Hyeon Jeon, Jinwook Seo
https://arxiv.org/abs/2404.06021 https://

Combinational Nonuniform Timeslicing of Dynamic Networks
Dynamic networks represent the complex and evolving interrelationships between real-world entities. Given the scale and variability of these networks, finding an optimal slicing interval is essential for meaningful analysis. Nonuniform timeslicing, which adapts to density changes within the network, is drawing attention as a solution to this problem. In this research, we categorized existing algorithms into two domains -- data mining and visualization -- according to their approach to the probl…

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
…

Mining patterns in syntax trees to automate code reviews of student solutions for programming exercises
Charlotte Van Petegem, Kasper Demeyere, Rien Maertens, Niko Strijbol, Bram De Wever, Bart Mesuere, Peter Dawyndt
https://arxiv.org/abs/2405.01579

Mining patterns in syntax trees to automate code reviews of student solutions for programming exercises
In programming education, providing manual feedback is essential but labour-intensive, posing challenges in consistency and timeliness. We introduce ECHO, a machine learning method to automate the reuse of feedback in educational code reviews by analysing patterns in abstract syntax trees. This study investigates two primary questions: whether ECHO can predict feedback annotations to specific lines of student code based on previously added annotations by human reviewers (RQ1), and whether its t…

This https://arxiv.org/abs/2311.02206 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Modern Datalog on the GPU
Modern deductive database engines (e.g., LogicBlox and Soufflé) enable their users to write declarative queries which compute recursive deductions over extensional data, leaving their high-performance operationalization (query planning, semi-naïve evaluation, and parallelization) to the engine. Such engines form the backbone of modern high-throughput applications in static analysis, security auditing, social-media mining, and business analytics. State-of-the-art engines are built upon nested …

ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
Fernando Gallego, Guillermo L\'opez-Garc\'ia, Luis Gasco-S\'anchez, Martin Krallinger, Francisco J. Veredas
https://arxiv.org/abs/2404.06367

ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
Advances in natural language processing techniques, such as named entity recognition and normalization to widely used standardized terminologies like UMLS or SNOMED-CT, along with the digitalization of electronic health records, have significantly advanced clinical text analysis. This study presents ClinLinker, a novel approach employing a two-phase pipeline for medical entity linking that leverages the potential of in-domain adapted language models for biomedical text mining: initial candidate…

💧 Towards a Circular Economy in the Mining Industry: Possible Solutions for Water Recovery through Advanced Mineral Tailings Dewatering
#mining #water #circularecomomy

Towards a Circular Economy in the Mining Industry: Possible Solutions for Water Recovery through Advanced Mineral Tailings Dewatering
The mining industry is confronted with substantial challenges in achieving environmental sustainability, particularly regarding water usage, waste management, and dam safety. The increasing global demand for minerals has led to increased mining activities, resulting in significant environmental consequences. By 2025, an estimated 19 billion tons of solid tailings are projected to accumulate worldwide, exacerbating concerns over their management. Tailings storage facilities represent the largest…

Process Mining Embeddings: Learning Vector Representations for Petri Nets
Juan G. Colonna, Ahmed A. Fares, M\'arcio Duarte, Ricardo Sousa
https://arxiv.org/abs/2404.17129

Process Mining Embeddings: Learning Vector Representations for Petri Nets
Process mining offers powerful techniques for discovering, analyzing, and enhancing real-world business processes. In this context, Petri nets provide an expressive means of modeling process behavior. However, directly analyzing and comparing intricate Petri net presents challenges. This study introduces PetriNet2Vec, a novel unsupervised methodology based on Natural Language Processing concepts inspired by Doc2Vec and designed to facilitate the effective comparison, clustering, and classificat…

"Deforestation in Indonesia spiked last year, but resources analyst sees better overall trend"
#Indonesia #Trees #Environment

Deforestation in Indonesia spiked last year, but resources analyst sees better overall trend
A data analysis shows Indonesia had a 27% increase in primary forest loss in 2023. The losses were in protected national parks and in massive swaths of jungle cut down for palm oil and paper plantations and for mining. Despite that increase, the World Resources Institute said the analysis was generally good when compared to peak deforestation rates of several years ago. But others saw some cause for concern and tied some of the more recent deforestation to nickel mining. Indonesia has vast depo…

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
…

Mining Transactional Data To Produce Extended Association Rules Using Collaborative Apriori, Fsa-Red And M5p Predictive Algorithm As A Basis Of Business Actions
Feri Sulianta, Laksana Eka Angga, Thee Houw Liong
https://arxiv.org/abs/2403.04179

Mining Transactional Data To Produce Extended Association Rules Using Collaborative Apriori, Fsa-Red And M5p Predictive Algorithm As A Basis Of Business Actions
There are large amounts of transactional data which showed consumer shopping cart at a store that sells more than 150 types of products. In this case, the company is utilizing these data in making business action. In previous studies, the data that has a lot of attributes and record data reduction algorithms handled by the FSA Red (Feature Selection for Association Rules)are then mined using Apriori algorithm. The resulting association rules have high levels of accuracy and excellent test resul…

Logical Negation Augmenting and Debiasing for Prompt-based Methods
Yitian Li, Jidong Tian, Hao He, Yaohui Jin
https://arxiv.org/abs/2405.04872 https://

Logical Negation Augmenting and Debiasing for Prompt-based Methods
Prompt-based methods have gained increasing attention on NLP and shown validity on many downstream tasks. Many works have focused on mining these methods' potential for knowledge extraction, but few explore their ability to make logical reasoning. In this work, we focus on the effectiveness of the prompt-based methods on first-order logical reasoning and find that the bottleneck lies in logical negation. Based on our analysis, logical negation tends to result in spurious correlations to negativ…

This https://arxiv.org/abs/2212.13179 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mining Architectural Information: A Systematic Mapping Study
Mining Software Repositories (MSR) has become an essential activity in software development. Mining architectural information to support architecting activities, such as architecture understanding, has received significant attention in recent years. However, there is a lack of clarity on what literature on mining architectural information is available. Consequently, this may create difficulty for practitioners to understand and adopt the state-of-the-art research results, such as what approache…

Block says it has finished the development of its own 3nm bitcoin mining chip and is working through the design with a "leading global semiconductor foundry" (MacKenzie Sigalos/CNBC)
https://www.cnbc.com/2024/04/23/block-form

🔋 Chemists invent a more efficient way to extract lithium from mining sites, oil fields, used batteries
https://phys.org/news/2024-04-chemists-efficient-lithium-sites-oil.html

Chemists invent a more efficient way to extract lithium from mining sites, oil fields, used batteries
Chemists at the Department of Energy's Oak Ridge National Laboratory have invented a more efficient way to extract lithium from waste liquids leached from mining sites, oil fields, and used batteries. They demonstrated that a common mineral can adsorb at least five times more lithium than can be collected using previously developed adsorbent materials.

This https://arxiv.org/abs/2403.06749 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming increasingly essential, and initial approaches yield promising results. However, little attention has been given to developing strategies for evaluating and benchmarking the utility of incorporating LLMs into PM tasks. This paper reviews the current implementations of LLMs in PM and reflects on three different questions. 1) What is the minimal set of capabilities required for PM on LLMs? 2) Which benchmark strategies h…

Logical Negation Augmenting and Debiasing for Prompt-based Methods
Yitian Li, Jidong Tian, Hao He, Yaohui Jin
https://arxiv.org/abs/2405.04872 https://

Logical Negation Augmenting and Debiasing for Prompt-based Methods
Prompt-based methods have gained increasing attention on NLP and shown validity on many downstream tasks. Many works have focused on mining these methods' potential for knowledge extraction, but few explore their ability to make logical reasoning. In this work, we focus on the effectiveness of the prompt-based methods on first-order logical reasoning and find that the bottleneck lies in logical negation. Based on our analysis, logical negation tends to result in spurious correlations to negativ…

Identification and Uses of Deep Learning Backbones via Pattern Mining
Michael Livanos, Ian Davidson
https://arxiv.org/abs/2403.18278 https://

Identification and Uses of Deep Learning Backbones via Pattern Mining
Deep learning is extensively used in many areas of data mining as a black-box method with impressive results. However, understanding the core mechanism of how deep learning makes predictions is a relatively understudied problem. Here we explore the notion of identifying a backbone of deep learning for a given group of instances. A group here can be instances of the same class or even misclassified instances of the same class. We view each instance for a given group as activating a subset of neu…

This https://arxiv.org/abs/2403.06749 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming increasingly essential, and initial approaches yield promising results. However, little attention has been given to developing strategies for evaluating and benchmarking the utility of incorporating LLMs into PM tasks. This paper reviews the current implementations of LLMs in PM and reflects on three different questions. 1) What is the minimal set of capabilities required for PM on LLMs? 2) Which benchmark strategies h…

WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
Arman Irani, Ju Yeon Park, Kevin Esterling, Michalis Faloutsos
https://arxiv.org/abs/2405.00828

WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
We propose WIBA, a novel framework and suite of methods that enable the comprehensive understanding of "What Is Being Argued" across contexts. Our approach develops a comprehensive framework that detects: (a) the existence, (b) the topic, and (c) the stance of an argument, correctly accounting for the logical dependence among the three tasks. Our algorithm leverages the fine-tuning and prompt-engineering of Large Language Models. We evaluate our approach and show that it performs well in all th…

EdgeAlpha: Bringing Process Discovery to the Data Sources
Julia Rossow, Patrick Rathje, Olaf Landsiedel
https://arxiv.org/abs/2405.03426 https://

EdgeAlpha: Bringing Process Discovery to the Data Sources
Process Mining is moving beyond mining traditional event logs and nowadays includes, for example, data sourced from sensors in the Internet of Things (IoT). The volume and velocity of data generated by such sensors makes it increasingly challenging for traditional process discovery algorithms to store and mine such data in traditional event logs. Further, privacy considerations often prevent data collection at a central location in the first place. To address this challenge, this paper introduc…

Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi
https://arxiv.org/abs/2402.14484

Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
Causality is fundamental in human cognition and has drawn attention in diverse research fields. With growing volumes of textual data, discerning causalities within text data is crucial, and causal text mining plays a pivotal role in extracting meaningful patterns. This study conducts comprehensive evaluations of ChatGPT's causal text mining capabilities. Firstly, we introduce a benchmark that extends beyond general English datasets, including domain-specific and non-English datasets. We also pr…

This https://arxiv.org/abs/2202.06834 has been replaced.
link: https://scholar.google.com/scholar?q=a

Memory-Efficient Sequential Pattern Mining with Hybrid Tries
As modern data sets continue to grow exponentially in size, the demand for efficient mining algorithms capable of handling such large data sets becomes increasingly imperative. This paper develops a memory-efficient approach for Sequential Pattern Mining (SPM), a fundamental topic in knowledge discovery that faces a well-known memory bottleneck for large data sets. Our methodology involves a novel hybrid trie data structure that exploits recurring patterns to compactly store the data set in mem…