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This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which projects should be performed, from data understanding and preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area. The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it contains appendices covering relevant mathematical material.
The authors' experience and expertise ensure that this text will be an authoritative instructional tool. Researchers, practitioners and students are certain to consider this text an indispensable resource in successfully accomplishing the goals of their data mining projects.
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This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.
Based upon the authors previous successful book on data mining and knowledge discovery, this new volume has been extensively expanded, making it an effective instructional tool for advanced-level undergraduate and graduate courses. This book offers:
- A suite of exercises at the end of every chapter, designed to enhance the reader s understanding of the theory and proficiency with the tools presented
- Links to all-inclusive instructional presentations for each chapter to ensure easy use in classroom teaching
- Extensive appendices covering relevant mathematical material for convenient look-up
- Methods for addressing issues related to data privacy and security within the context of data mining, enabling the reader to balance potentially conflicting aims
- Summaries and bibliographical notes for each chapter, providing a broader perspective of the concepts and methods described
Researchers, practitioners and students are certain to consider this volume an indispensable resource in successfully accomplishing the goals of their data mining projects.
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Data Mining: A Knowledge Discovery Approach
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Data Mining (Paperback)
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Springer-Verlag New York Inc., New York, NY, 2010
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Paperback. Condizione: new. Paperback. If you torture the data long enough, Nature will confess, said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, long enough may, in practice, be too long in many applications and thus unacceptable. Second, to get confession from large data sets one needs to use state-of-the-art torturing tools. Third, Nature is very stubborn not yielding easily or unwilling to reveal its secrets at all. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent book. The book discusses various issues connecting the whole spectrum of approaches, methods, techniques and algorithms falling under the umbrella of data mining. It starts with data understanding and preprocessing, then goes through a set of methods for supervised and unsupervised learning, and concludes with model assessment, data security and privacy issues. It is this specific approach of using the knowledge discovery process that makes this book a rare one indeed, and thus an indispensable addition to many other books on data mining. To be more precise, this is a book on knowledge discovery from data. As for the data sets, the easy-to-make statement is that there is no part of modern human activity left untouched by both the need and the desire to collect data. The consequence of such a state of affairs is obvious. If you torture the data long enough, Nature will confess, said 1991 Nobel-winning economist Ronald Coase. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781441941206
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and data understanding through datapreprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area.The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it containsappendices of relevant mathematical material. 624 pp. Englisch. Codice articolo 9781441941206
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides suite of exercisesIncludes links to instructional presentationsContains appendices of relevant mathematical materialThis comprehensive textbook on data mining details the unique steps of the knowledge discovery process that pr. Codice articolo 4174477
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Data Mining
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