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.
"synopsis" may belong to another edition of this title.
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:
Researchers, practitioners and students are certain to consider this volume an indispensable resource in successfullyaccomplishing the goals of their data mining projects.
"About this title" may belong to another edition of this title.
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Softcover. Condition: As New. Leichte Kratzer / Abnutzungen / Druckstellen. "If you torture the data long enough, Nature will confess," stated Nobel-winning economist Ronald Coase. This remains true, yet achieving this goal is challenging. The phrase "long enough" can often translate to "too long" in many applications, making it impractical. To extract insights from large data sets, one must employ advanced "torturing" tools, and Nature is often reluctant to reveal its secrets. Despite these challenges, readers will discover several effective data mining tools within this insightful book. It addresses a wide range of issues related to data mining methodologies, techniques, and algorithms. The content begins with data understanding and preprocessing, progresses through supervised and unsupervised learning methods, and concludes with model assessment and considerations of data security and privacy. This comprehensive approach to the knowledge discovery process distinguishes the book, making it an essential resource among data mining literature. In today's world, virtually every aspect of human activity is influenced by the necessity and desire to collect data, leading to significant implications for how we understand and utilize this information. Seller Inventory # 8b3d9452-66a7-4713-ae6b-feb8f6d0cadb
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Taschenbuch. Condition: 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. Seller Inventory # 9781441941206
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