Data Mining: Concepts and Techniques by Jiawei HanData 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.
Data Mining: Concepts and Techniques
Ebook Library. ProQuest Ebook Central. Please choose whether or not you want other users to be able to see on your profile that this library is a favorite of yours. Finding libraries that hold this item The text is supported by a strong outline. The authors preserve much of the introductory material, but add the latest techniques and developments in data mining, thus making this a comprehensive resource for both beginners and practitioners.
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Some of the exercises in Data Mining: Concepts and Techniques are themselves good research topics that may lead to future Master or Ph. Therefore, our solution manual is intended to be used as a guide in answering the exercises of the textbook. While we have done our best to ensure the correctness of the solutions, it is possible that some typos or errors may exist. If you should notice any, please feel free to point them out by sending your suggestions to hanj cs. We appreciate your suggestions. This section includes additional exercise questions and their suggested answers and thus may substantially enrich the value of this solution manual. Additional questions and answers will be incrementally added to this section, extracted from the assignments and exam questions of our own teaching.
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