Author: National Research Council
Publisher: National Academies Press
ISBN: 0309169836
Category : Science
Languages : en
Pages : 102
Book Description
The Office of Industrial Technologies (OIT) of the U. S. Department of Energy commissioned the National Research Council (NRC) to undertake a study on required technologies for the Mining Industries of the Future Program to complement information provided to the program by the National Mining Association. Subsequently, the National Institute for Occupational Safety and Health also became a sponsor of this study, and the Statement of Task was expanded to include health and safety. The overall objectives of this study are: (a) to review available information on the U.S. mining industry; (b) to identify critical research and development needs related to the exploration, mining, and processing of coal, minerals, and metals; and (c) to examine the federal contribution to research and development in mining processes.
Evolutionary and Revolutionary Technologies for Mining
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309169836
Category : Science
Languages : en
Pages : 102
Book Description
The Office of Industrial Technologies (OIT) of the U. S. Department of Energy commissioned the National Research Council (NRC) to undertake a study on required technologies for the Mining Industries of the Future Program to complement information provided to the program by the National Mining Association. Subsequently, the National Institute for Occupational Safety and Health also became a sponsor of this study, and the Statement of Task was expanded to include health and safety. The overall objectives of this study are: (a) to review available information on the U.S. mining industry; (b) to identify critical research and development needs related to the exploration, mining, and processing of coal, minerals, and metals; and (c) to examine the federal contribution to research and development in mining processes.
Publisher: National Academies Press
ISBN: 0309169836
Category : Science
Languages : en
Pages : 102
Book Description
The Office of Industrial Technologies (OIT) of the U. S. Department of Energy commissioned the National Research Council (NRC) to undertake a study on required technologies for the Mining Industries of the Future Program to complement information provided to the program by the National Mining Association. Subsequently, the National Institute for Occupational Safety and Health also became a sponsor of this study, and the Statement of Task was expanded to include health and safety. The overall objectives of this study are: (a) to review available information on the U.S. mining industry; (b) to identify critical research and development needs related to the exploration, mining, and processing of coal, minerals, and metals; and (c) to examine the federal contribution to research and development in mining processes.
An Introduction to Text Mining
Author: Gabe Ignatow
Publisher: SAGE Publications
ISBN: 150633699X
Category : Computers
Languages : en
Pages : 345
Book Description
Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea's new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing.
Publisher: SAGE Publications
ISBN: 150633699X
Category : Computers
Languages : en
Pages : 345
Book Description
Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea's new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing.
Artisanal and Small-scale Mining
Author: Thomas Hentschel
Publisher: IIED
ISBN: 1843694700
Category : Mineral industries
Languages : en
Pages : 94
Book Description
Based on studies from countries in Africa, South America and Asia, looks at small-scale mining activities which often are both illegal and environmentally damaging, and dangerous for workers and their communities. Gives an overview on the issues and challenges involved, concluding about how sustainable development can be achieved.
Publisher: IIED
ISBN: 1843694700
Category : Mineral industries
Languages : en
Pages : 94
Book Description
Based on studies from countries in Africa, South America and Asia, looks at small-scale mining activities which often are both illegal and environmentally damaging, and dangerous for workers and their communities. Gives an overview on the issues and challenges involved, concluding about how sustainable development can be achieved.
Mining and the Environment
Author: International Development Research Centre (Canada)
Publisher: IDRC
ISBN: 0889368287
Category : Electronic books
Languages : en
Pages : 348
Book Description
Mining and the Environment: Case studies from the Americas
Publisher: IDRC
ISBN: 0889368287
Category : Electronic books
Languages : en
Pages : 348
Book Description
Mining and the Environment: Case studies from the Americas
Clinical Data-Mining
Author: Irwin Epstein
Publisher: Oxford University Press
ISBN: 019533552X
Category : Computers
Languages : en
Pages : 241
Book Description
Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practitioner reflection. Depending upon the type of data mined, CDM can be qualitative or quantitative; it is generally retrospective, but may be meaningfully combined with original data collection.Any research method that relies on the contents of case records or information systems data inevitably has limitations, but with proper safeguards these can be minimized. Among CDM's strengths however, are that it is unobtrusive, inexpensive, presents little risk to research subjects, and is ethically compatible with practitioner value commitments. When conducted by practitioners, CDM yields conceptual as well as data-driven insight into their own practice- and program-generated questions.This pocket guide, from a seasoned practice-based researcher, covers all the basics of conducting practitioner-initiated CDM studies or CDM doctoral dissertations, drawing extensively on published CDM studies and completed CDM dissertations from multiple social work settings in the United States, Australia, Israel, Hong Kong and the United Kingdom. In addition, it describes consulting principles for researchers interested in forging collaborative university-agency CDM partnerships, making it a practical tool for novice practitioner-researchers and veteran academic-researchers alike.As such, this book is an exceptional guide both for professionals conducting practice-based research as well as for social work faculty seeking an evidence-informed approach to practice-research integration.
Publisher: Oxford University Press
ISBN: 019533552X
Category : Computers
Languages : en
Pages : 241
Book Description
Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practitioner reflection. Depending upon the type of data mined, CDM can be qualitative or quantitative; it is generally retrospective, but may be meaningfully combined with original data collection.Any research method that relies on the contents of case records or information systems data inevitably has limitations, but with proper safeguards these can be minimized. Among CDM's strengths however, are that it is unobtrusive, inexpensive, presents little risk to research subjects, and is ethically compatible with practitioner value commitments. When conducted by practitioners, CDM yields conceptual as well as data-driven insight into their own practice- and program-generated questions.This pocket guide, from a seasoned practice-based researcher, covers all the basics of conducting practitioner-initiated CDM studies or CDM doctoral dissertations, drawing extensively on published CDM studies and completed CDM dissertations from multiple social work settings in the United States, Australia, Israel, Hong Kong and the United Kingdom. In addition, it describes consulting principles for researchers interested in forging collaborative university-agency CDM partnerships, making it a practical tool for novice practitioner-researchers and veteran academic-researchers alike.As such, this book is an exceptional guide both for professionals conducting practice-based research as well as for social work faculty seeking an evidence-informed approach to practice-research integration.
Process Mining in Healthcare
Author: Ronny S. Mans
Publisher: Springer
ISBN: 3319160710
Category : Computers
Languages : en
Pages : 99
Book Description
What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Publisher: Springer
ISBN: 3319160710
Category : Computers
Languages : en
Pages : 99
Book Description
What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
State Governance of Mining, Development and Sustainability
Author: Tracy-Lynn Field
Publisher: Edward Elgar Publishing
ISBN: 1784712647
Category : Law
Languages : en
Pages : 407
Book Description
States in mineral-rich jurisdictions must promote mining as a development industry just as they must protect people and environment from the worst excesses of extractivism. State Governance of Mining, Development and Sustainability explores how the State’s role in facilitating a developmental and sustainable mining industry has been defined. In doing so, this astute book considers the impact of the policies and laws of mineral-rich States themselves, multilateral international governance institutions, industry associations, and environmental justice advocates in the areas of property relations, mineral taxation, environmental management and mine closure.
Publisher: Edward Elgar Publishing
ISBN: 1784712647
Category : Law
Languages : en
Pages : 407
Book Description
States in mineral-rich jurisdictions must promote mining as a development industry just as they must protect people and environment from the worst excesses of extractivism. State Governance of Mining, Development and Sustainability explores how the State’s role in facilitating a developmental and sustainable mining industry has been defined. In doing so, this astute book considers the impact of the policies and laws of mineral-rich States themselves, multilateral international governance institutions, industry associations, and environmental justice advocates in the areas of property relations, mineral taxation, environmental management and mine closure.
Small-scale Mining
Author: Richard Noetstaller
Publisher:
ISBN: 9780821309803
Category : Mining engineering.
Languages : en
Pages : 77
Book Description
Publisher:
ISBN: 9780821309803
Category : Mining engineering.
Languages : en
Pages : 77
Book Description
Environmental Effects of Mining
Author: Earle A. Ripley
Publisher: CRC Press
ISBN: 9781884015762
Category : Technology & Engineering
Languages : en
Pages : 370
Book Description
Research funded by the Centre for Resource Studies,Queen's University, Kingston, Ontario, Canada
Publisher: CRC Press
ISBN: 9781884015762
Category : Technology & Engineering
Languages : en
Pages : 370
Book Description
Research funded by the Centre for Resource Studies,Queen's University, Kingston, Ontario, Canada
R and Data Mining
Author: Yanchang Zhao
Publisher: Academic Press
ISBN: 012397271X
Category : Mathematics
Languages : en
Pages : 251
Book Description
R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. - Presents an introduction into using R for data mining applications, covering most popular data mining techniques - Provides code examples and data so that readers can easily learn the techniques - Features case studies in real-world applications to help readers apply the techniques in their work
Publisher: Academic Press
ISBN: 012397271X
Category : Mathematics
Languages : en
Pages : 251
Book Description
R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. - Presents an introduction into using R for data mining applications, covering most popular data mining techniques - Provides code examples and data so that readers can easily learn the techniques - Features case studies in real-world applications to help readers apply the techniques in their work