Active Mining, Shusaku Tsumoto; Takahira Yamaguchi; Masayuki Numa
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 Рейтинг: Цена: 42230.00 T Наличие на складе: Есть 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: Howard L. Hartman Название: Introductory Mining Engineering, 2nd Edition ISBN: 0471348511 ISBN-13(EAN): 9780471348511 Издательство: Wiley Рейтинг: Цена: 157290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Lars Eld?n Название: Matrix Methods in Data Mining and Pattern Recognition ISBN: 0898716268 ISBN-13(EAN): 9780898716269 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Поставка под заказ. Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.
Автор: Torgo Название: Data Mining with R ISBN: 1439810184 ISBN-13(EAN): 9781439810187 Издательство: Taylor&Francis Рейтинг: Цена: 66340.00 T Наличие на складе: Нет в наличии. Описание: This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code.
Автор: Edmiston Название: Transforming teaching and learning with active and dramatic approaches ISBN: 0415531012 ISBN-13(EAN): 9780415531016 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text introduces engaging, innovative pedagogy for putting active and dramatic approaches to learning and teaching into action and invites readers to apply these principles as they plan for their own classroom contexts.
Автор: Witten, Ian H. Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed. ISBN: 0128042915 ISBN-13(EAN): 9780128042915 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: David Nettleton Название: Commercial Data Mining ISBN: 0124166024 ISBN-13(EAN): 9780124166028 Издательство: Elsevier Science Рейтинг: Цена: 41530.00 T Наличие на складе: Поставка под заказ. Описание: Helps you learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. This book guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.
Автор: Ian H. Witten Название: Data Mining: Practical Machine Learning Tools and Techniques, ISBN: 0123748569 ISBN-13(EAN): 9780123748560 Издательство: Elsevier Science Рейтинг: Цена: 57970.00 T Наличие на складе: Поставка под заказ. 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 Рейтинг: Цена: 65210.00 T Наличие на складе: Поставка под заказ. 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: Michael H. Hoppe Название: Active Listening - Improve Your Ability to Listen and Lead?? ISBN: 1882197941 ISBN-13(EAN): 9781882197941 Издательство: Wiley Рейтинг: Цена: 13720.00 T Наличие на складе: Невозможна поставка. Описание: Listening well is an essential component of good leadership. You can become a more effective listener and leader by learning the skills of active listening. Working relationships become more solid, based on trust, respect, and honesty. Active listening is not an optional component of leadership; it is not a nicety to be used to make others feel good. It is, in fact, a critical component of the tasks facing today's leaders.
Автор: Sixsmith A. Название: Technology for Active Aging ISBN: 1441983473 ISBN-13(EAN): 9781441983473 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a landmark publication in the area of technology and aging. Exploring key application areas, it serves as a statement of the current state-of-the-art and as a pointer to directions for future research and emerging technologies, products, and services.
A comprehensive guide to mining investment analysis designed for use by financial and mining analysts, executives, and investors, "The Mining Valuation Handbook: Mining and Energy Valuation for Investors and Management" has become an essential resource for assessing the value and investment potential of mining opportunities. Fully revised and updated, this fourth edition of the classic text provides new and up-to-date information to better explain the mysteries surrounding the resources industry.
Written by Victor Rudenno, a leading global expert on mining investment analysis and consultant to mining companies, financial bodies, and governments, "The Mining Valuation Handbook: Mining and Energy Valuation for Investors and Management, Fourth Edition" covers a wide range of essential topics, including: feasibility studies, commodity values and forecasting, classification of resources and reserves, indicative capital and operating costs, valuation and pricing techniques, qualifying risk, the impact of exploration and expansion, and more.Fourth edition of the bestselling text on assessing mining investment opportunities Author Victor Rudenno is a respected global expert on mining investment analysis Key topics, including feasibility studies, valuation techniques, and risk qualification are covered in detail
Packed with invaluable mining information for the financial industry and financial information for the mining industry, "The Mining Valuation Handbook" is the definitive guide to assessing and investing in mining opportunities.
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