Innovation in the Mining Industry: Technological Trends and …
Innovation plays a critical role in the mining industry as a tool to improve the efficiency of its processes, to reduce costs, but also to meet the increasing social and environmental concerns among communities and authorities. Technological progress has also been crucial to allow the exploitation of new deposits in more complex scenarios: …
Data Mining and Information Retrieval in the 21st century: …
1. Introduction. Data Mining and Information Retrieval is coupling of scientific discovery and practice, whose subject is to collect, manage, process, analyze, and visualize the vast amount of structured or unstructured data. It has grown dramatically and became more institutionalized in the 21st Century.
Road-Related Information Mining from Social Media …
The extracted entities from social media data include road names, road statuses, road types, road directions, landmarks, and traffic events (Table 1). These road-related …
What Is Data Mining? | Definition & Techniques
Data mining is the process of extracting meaningful information from vast amounts of data. With data mining methods, organizations can discover hidden …
Environmental Aspects of Uranium Mining
Envrionmental aspects of uranium mining, information on care taken to protec the environment, reducing environmnetal impact through ISL, from the World Nuclear Association (WNA), the global private-sector organization that seeks to promote and provide information on nuclear power, nuclear energy, nuclear power, Chernobyl, and …
Information Mining: Proof of Useful Work
Information Mining (IM) is the process by which humans are rewarded for transfering their expertise and knowledge to the AI, in annotated question-answer format. Users participate in the ...
Buildings | Free Full-Text | Road-Related Information Mining …
Yu L, Li D. Road-Related Information Mining from Social Media Data: A Joint Relation Extraction and Entity Recognition Approach. Buildings . 2023; …
From Data Mining to Knowledge Discovery in Databases
This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in databases are related both to each other and to …
Data Mining: The Power of Insights | SAP
Data mining is the process of using advanced analytical tools to extract useful information from an accumulation of data. Modernize your data foundation. …
Open source intelligence extraction for terrorism‐related information
Various data mining and text analysis-based techniques, that is, natural language processing, machine learning, and deep learning have been reviewed to extract and evaluate textual data. ... Overview of OSINT extraction process from terrorism-related textual information in three phases, that is, (i) Data Acquisition, (ii) Data Enrichment, …
(PDF) Tweet-to-Act: Towards Tweet-Mining Framework for …
This paper proposes an early event-related information extraction and reporting framework that monitors Twitter streams, synthesizes event-specific information, e.g., a terrorist attack, and ...
All About Mining
Mining Statistics. Mining has been a part of the Earth's history since prehistoric times. Mining has played a role throughout the millennia - from Neanderthals' use of stone, to ancient Egyptians', Greeks', Romans' …
Mining fall-related information in clinical notes: …
Background: Natural language processing (NLP) of health-related data is still an expertise demanding, and resource expensive process. We created a novel, open source rapid clinical text mining system called NimbleMiner. NimbleMiner combines several machine learning techniques (word embedding models and positive only labels learning) to …
Buildings | Free Full-Text | Road-Related Information Mining …
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
The Harms and Crimes of Mining
Summary. The world characterized by scarcity of natural resources and the growing demand for metals and minerals has provided strong incentives for illegal mining. Mining-related crimes have become a desirable illegal business for organized criminal groups, rebel forces, terrorist organizations, and private mining companies due to the low risks ...
Multiplex Graph Representation Learning via Common and …
Self-supervised multiplex graph representation learning (SMGRL) has attracted increasing interest, but previous SMGRL methods still suffer from the following issues: (i) they focus on the common information only (but ignore the private information in graph structures) to lose some essential characteristics related to downstream tasks, …
Data Mining Tutorial
Data mining is the process of extracting knowledge or insights from large amounts of data using various statistical and computational techniques. The data can be structured, semi-structured or unstructured, and can be stored in various forms such as databases, data warehouses, and data lakes. The primary goal of data mining is to …
A Hybrid Information Mining Approach for Knowledge …
The results obtained with the hybrid information mining approach indicate that it is an effective strategy for knowledge discovery concerning chronic diseases, particularly for CVD risk. ... We have collected and integrated information related to all services (hospital, diagnostic, specialist, therapeutic, etc.) with the aim of obtaining …
What Is Crypto Mining, and How Does It Work?
To summarize, the ledger records the creation and movement of coins in the blockchain. Mining is validating new blocks and gaining access to the coins within. Interestingly enough, since the blockchain has to be finite, it also means that most cryptocurrencies have a hard limit to how many can exist: Bitcoin for example has a cap …
The Environmental Problems Caused by Mining | Earth.Org
A village was set up to support 15,000 miners working in the ruby mine near Ambatondrazaka, Madagascar. Photo: Pardieu et al. (2017). However, compared to many other industries such as agriculture, mining uses relatively small pockets of land, and the future of mining could move to using techniques that are arguably even less invasive on …
Mining fall-related information in clinical notes: Comparison …
These promising results indicate that clinical text mining can be implemented without the need for large labeled datasets necessary for other types of machine learning. This is critical for domains with little NLP developments, like nursing or allied health professions. ... Overall, we found fall-related information in 75 clinical notes, which ...
- Mining | Safe Work Australia
The mining industry has made significant improvements in health and safety over the last decade, reducing the incidence rates of both fatalities and serious injuries. However, the mining industry still has one of the highest rates of fatalities of any industry. In the 12 years to 2015, the fatality rate in the mining industry decreased by 65% from 12.4 worker …
British Columbia Mine Information
This is the first time mine-related information from all three agencies has been made available online in one place, and more information will be added on an ongoing basis. This site currently profiles 78 major mines across the province. Information on these mines will be continually added to the website, and other permitted major mines in BC ...
From Data Mining to Knowledge Discovery in Databases
These systems ask the user to specify a profile of interest and search for related information among a wide variety of public-domain and proprietary sources. ... means for representing knowledge about the contents of a database will require algorithms that can effectively use such information. Historically, data-mining algorithms have …
U.S. Energy Information Administration (EIA)
The U.S. Energy Information Administration (EIA) is the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analysis, and forecasts are independent of approval by any other officer or employee of the U.S. government. The views in the product and this press release therefore should not be …
Careers In Mining
The new SME series, Jobs of Tomorrow, shares the many reasons why mining should be the career of the future. Each episode features a different aspect of the mining and minerals industry along with the jobs that bring it together. Each video has a 20-23 minute full episode, and a shorter 1.5-3.5 minute microlearning version.
RNA-Seq analysis of yak ovary: improving yak gene structure information
RNA-Seq, a high-throughput (HT) sequencing technique, has been used effectively in large-scale transcriptomic studies, and is particularly useful for improving gene structure information and mining of new genes. In this study, RNA-Seq HT technology was employed to analyze the transcriptome of yak ov …
Text Mining in Data Mining
Text mining is a component of data mining that deals specifically with unstructured text data. It involves the use of natural language processing (NLP) techniques to extract useful information and insights from large amounts of unstructured text data. Text mining can be used as a preprocessing step for data mining or as a standalone …
2023 Mining Terms Explained | An Underground Miner
Diamond driller - A person who operates a diamond drill. Dilution (mining) - Rock that is, by necessity, removed along with the ore in the mining process, subsequently lowering the grade of the ore. Dilution (of shares) - A decrease in the value of a company's shares caused by the issue of treasury shares.
Mining innovation and economic cycles: how commodity …
Mining and other associated activities are a significant part of the global economy. The value of global mine production has been estimated at around USD 1.3 trillion in 2014 (Lof and Ericsson 2016).In 2015, mining-related commodities represented approximately two percent of the world's total trade UN COMTRADE () database.The …