Mining in Cornwall and Devon: Mines and Men, Burt Roger, Burnley Raymond, Gill Michael

Автор: Howard L. Hartman
Название: Introductory Mining Engineering, 2nd Edition
ISBN: 0471348511 ISBN-13(EAN): 9780471348511
Издательство: Wiley
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Цена: 157290.00 T
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Описание: Mining Engineering covers both above ground and underground methods for a wide variety of mineral substances, including metals, non-metals, and fuels. Completely revised, this book includes updated material on remote sensing, GPS, seismic surveying, ground-penetrating radar, continuous integrated mining operations, and autonomous trucks.

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
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Цена: 42230.00 T
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Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Автор: Ratner Bruce
Название: Statistical and Machine-Learning Data Mining
ISBN: 1439860912 ISBN-13(EAN): 9781439860915
Издательство: Taylor&Francis
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Цена: 60220.00 T
Наличие на складе: Нет в наличии.
Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.

Автор: Symons
Название: A Sketch of the Geology of Cornwall
ISBN: 1108066801 ISBN-13(EAN): 9781108066808
Издательство: Cambridge Academ
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Цена: 28510.00 T
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Описание: Published in 1884 by mining engineer and metallurgist Brenton Symons (1832-c.1908), this illustrated monograph explores the geological characteristics of Cornwall, its key mining districts, its mineral wealth, the practices used to exploit these resources, and their preparation for market.

Автор: Hatcher, John
Название: Rural economy and society in the duchy of cornwall 1300 - 1500
ISBN: 0521085500 ISBN-13(EAN): 9780521085502
Издательство: Cambridge Academ
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Цена: 36960.00 T
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Описание: This study is centred on the Cornish manorial estates of the Duchy of Cornwall in the later Middle Ages, and has been compiled from a very full and hitherto neglected series of records, the completeness of which is perhaps unique for a lay estate. Most aspects of the history of the estates have been recorded and those which differed from other regions of England have been stressed.

Автор: Kicki
Название: International Mining Forum 2004, New Technologies in Underground Mining, Safety in Mines
ISBN: 9058096076 ISBN-13(EAN): 9789058096074
Издательство: Taylor&Francis
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Цена: 153120.00 T
Наличие на складе: Невозможна поставка.
Описание: Selected papers from the Fifth International Mining Forum in Cracow 2004, addressing technical issues in mining and mine engineering including mechanical and computer-based advances as well as case studies in Poland.

Автор: The Witwatersrand Chamber of Mines
Название: The Mining Industry
ISBN: 1108062342 ISBN-13(EAN): 9781108062343
Издательство: Cambridge Academ
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Цена: 69690.00 T
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Описание: The nineteenth-century gold rush was an important factor in the tension between Dutch and English settlers that led to the Second Boer War. This 1895 work on the mining industry of the Transvaal covers geological, economic and legal aspects of gold mining in this significant period of South African history.

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 64800.00 T
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Описание: 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.

Автор: Ian H. Witten
Название: Data Mining: Practical Machine Learning Tools and Techniques,
ISBN: 0123748569 ISBN-13(EAN): 9780123748560
Издательство: Elsevier Science
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Цена: 57970.00 T
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Описание: Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques 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. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining?including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. <br><br>Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. <br><br>The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.<br> <br><br>* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques<br><br>* Algorithmic methods at the heart of successful data mining?including tired and true methods as well as leading edge methods<br><br>* Performance improvement techniques that work by transforming the input or output<br><br>* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization?in an updated, interactive interface. <br>

Автор: С.Aggarwal
Название: Data Mining: The Textbook
ISBN: 3319141414 ISBN-13(EAN): 9783319141411
Издательство: Springer
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Цена: 65210.00 T
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Описание: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.

Автор: Lior Rokach
Название: Data Mining with Decision Trees
ISBN: 981459007X ISBN-13(EAN): 9789814590075
Издательство: World Scientific Publishing
Цена: 110880.00 T
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Описание:

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.

This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.

This book invites readers to explore the many benefits in data mining that decision trees offer:

Автор: Klepac, Kopal & Mrsic
Название: Developing Churn Models Using Data Mining Techniques And Social Network Analysis
ISBN: 1466662883 ISBN-13(EAN): 9781466662889
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
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Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.