The Practical Miner's Own Book and Guide ... By Job Atkins. [Being the Practical Miner's Guide, by John Budge, with Alterations by J. Atkins.] PDF Download
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Author: Job ATKINS
Publisher:
ISBN:
Category :
Languages : en
Pages : 188
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Book Description
![The Practical Miner's Own Book and Guide ... By Job Atkins. [Being the Practical Miner's Guide, by John Budge, with Alterations by J. Atkins.] PDF](https://books.google.com/books/content/images/frontcover/bUFYAAAAcAAJ?fife=w80-h100)
Author: Job ATKINS
Publisher:
ISBN:
Category :
Languages : en
Pages : 188
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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: Andrea Ahlemeyer-Stubbe
Publisher: John Wiley & Sons
ISBN: 1118763378
Category : Mathematics
Languages : en
Pages : 323
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Book Description
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.
Author: Per Vestergaard Pedersen
Publisher: Globe Law and Business Limited
ISBN: 9781905783564
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
"Minerals and mining are key to the world economy. The mining and processing of minerals are major sources of income and employment in some states. Minerals are used to make goods, materials and energy which are essential to people and economies worldwide.
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: John Budge
Publisher:
ISBN:
Category : Mining engineering
Languages : en
Pages : 172
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Book Description
Author: Nagiza F. Samatova
Publisher: CRC Press
ISBN: 1439860858
Category : Business & Economics
Languages : en
Pages : 495
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Book Description
Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste
Author: Charles Kernot
Publisher: Elsevier
ISBN: 1782420096
Category : Business & Economics
Languages : en
Pages : 259
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Book Description
This book gives a perspective on the international mining and metals industry, from historical details of mines and mining to the potential problems encountered in attempting to value a mining company. Chapters are devoted to accounting practices and taxation, providing valuable information on the financial aspects of mining. It also covers various techniques used to value mining companies and gives instruction on how to set up a portfolio and begin trading in this complex field. A one stop shop to mining analysis Up-to-date information on companies and their markets A historical section puts the industry in perspective
Author: Job Atkins
Publisher:
ISBN:
Category : Mining engineering
Languages : en
Pages : 172
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Book Description
Author: Frederic Philip Mennell
Publisher:
ISBN:
Category : Mineral industries
Languages : en
Pages : 214
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Book Description
