Mining Explained PDF Download

Author: James Bernard Whyte
Publisher: Don Mills, Ont. : Northern Miner
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 168

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Author: Mohammed J. Zaki
Publisher: Cambridge University Press
ISBN: 0521766338
Category : Computers
Languages : en
Pages : 607

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Book Description
A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.

Author: James Bernard Whyte
Publisher:
ISBN: 9780919336506
Category : Mineral industries
Languages : en
Pages : 150

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Book Description
A guide for readers who are interested in knowing how an underground source of metal is located, mined, refined into metal and turned into cash. This edition includes a new chapter on mining investment and has a greater emphasis on the environmental and social challenges facing mining companies.

Author: Patrick Whiteway
Publisher:
ISBN: 9780919336315
Category : Mineral industries
Languages : en
Pages : 133

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Book Description
A book written for lay readers interested in mining. Covers all aspects of mining in Canada, giving information on the science of mineral extracting, the fundamentals of geology, the economics and finances of mining, the working environment of miners, an explanation of mineral markets, the development of a mine, and the risks involved in mining. Includes many photographs, charts, fold-out map and glossary of mining terms.

Author: Pawel Cichosz
Publisher: John Wiley & Sons
ISBN: 111833258X
Category : Mathematics
Languages : en
Pages : 717

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Book Description
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309169836
Category : Science
Languages : en
Pages : 102

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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.

Author: W. Scott Dunbar
Publisher: Society for Mining, Metallurgy, and Exploration, Incorporated
ISBN: 9780873353991
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
Explains complex mining concepts in a way simple enough for those who are not familiar with the industry, yet thorough enogh to be useful to long-time professionals. This colourful book presents a logical and sensible sequence for acquiring a strong working knowledge of the world of mining.

Author: National Research Council
Publisher: National Academies Press
ISBN: 030911022X
Category : Science
Languages : en
Pages : 183

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Book Description
Coal will continue to provide a major portion of energy requirements in the United States for at least the next several decades. It is imperative that accurate information describing the amount, location, and quality of the coal resources and reserves be available to fulfill energy needs. It is also important that the United States extract its coal resources efficiently, safely, and in an environmentally responsible manner. A renewed focus on federal support for coal-related research, coordinated across agencies and with the active participation of the states and industrial sector, is a critical element for each of these requirements. Coal focuses on the research and development needs and priorities in the areas of coal resource and reserve assessments, coal mining and processing, transportation of coal and coal products, and coal utilization.

Author: Jiawei Han
Publisher: Elsevier
ISBN: 0123814804
Category : Computers
Languages : en
Pages : 740

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Book Description
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Author: Northern Miner Press
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description