Data Mining: Knowledge Discovery Methods

Description

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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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1. Ebooks list page : 1348
2. Data Mining: Knowledge Discovery Methods
3. Mathematical Methods for Knowledge Discovery and Data Mining
4. Mathematical Methods for Knowledge Discovery and Data Mining
5. Mathematical Methods for Knowledge Discovery and Data Mining
6. Multimedia Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
7. Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)
8. Multimedia Data Mining and Knowledge Discovery
9. Statistical Data Mining & Knowledge Discovery
10. Advances in Knowledge Discovery and Data Mining
11. Data Mining and Knowledge Discovery Technologies
12. Data Mining: A Knowledge Discovery Approach
13. Knowledge Discovery and Data Mining: Challenges and Realities
14. Geographic Data Mining and Knowledge Discovery, Second Edition
15. Introduction to Data Mining and Knowledge Discovery, Third Edition
16. Introduction to Data Mining and Knowledge Discovery, Third Edition