Details of Practical Mining PDF Download

Author:
Publisher:
ISBN:
Category : Engineering and mining journal
Languages : en
Pages : 562

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Author:
Publisher:
ISBN:
Category : Mineral industries
Languages : en
Pages : 564

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Author: John Glenville Murphy
Publisher:
ISBN:
Category : Mining engineering
Languages : en
Pages : 120

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Author:
Publisher:
ISBN: 9781333877293
Category : Technology & Engineering
Languages : en
Pages : 562

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Author: A R C. Matuska
Publisher:
ISBN: 9781612049526
Category : Technology & Engineering
Languages : en
Pages : 356

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Book Description
Where does a wannabe miner or established individual operator get the information to create a small yet highly profitable mining company? When author A R C Matuska searched for simple, practical mining books and information about the industry, he found high-powered studies, academic theses and computer modeling. In short, nothing of use to the small, practical mine operator. The best information he found was in booklets aimed at ex-servicemen after World War II, encouraging them to take up mining in the British colonies in Africa. Since then, there has not been much written in such a useful and practical manner. To answer this need, a veritable goldmine of information is included in the book Practical Mining and Gold Processing for the Small Scale Operator. Where does a newcomer to the industry find out how to sample and calculate a potential resource and plan his mining business? Where does he get the information to run a small ball mill or stamp mill? How does he set up and dress a simple amalgam plate, retort some amalgam or make up a retort, and calculate the percentage of gold in bullion? Where does a small operator find out how to set up a low-cost cyanide plant and its running procedures? And how does he improve mining and blasting efficiencies? This book provides practical applications and solutions to get you started in one of the most diverse, profitable and interesting industries. It is indexed in detail so information can be easily found without sifting through realms of data. A R C Matuska is a career miner. He owns and consults for several mining properties in East and Central Africa. Publisher's website: http: //sbpra.com/ARCMatuska

Author: Ian H. Witten
Publisher: Elsevier
ISBN: 0080890369
Category : Computers
Languages : en
Pages : 665

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Book Description
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Author: Jr., Monte F. Hancock
Publisher: CRC Press
ISBN: 1439868379
Category : Computers
Languages : en
Pages : 304

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Book Description
Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in tech

Author: Anonymous
Publisher: Legare Street Press
ISBN: 9781020365133
Category :
Languages : en
Pages : 0

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Book Description
This book is an essential reference for anyone involved in underground mining. It covers everything from drilling and blasting to ventilation and safety. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author: Sholom M. Weiss
Publisher: Morgan Kaufmann
ISBN: 9781558604032
Category : Computers
Languages : en
Pages : 244

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Book Description
This book is the first technical guide to provide a complete, generalized road map for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.

Author: Phelps Dodge Corporation. Copper Queen Branch. Education Department
Publisher:
ISBN:
Category : Copper
Languages : en
Pages : 924

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