Data Mining: A Knowledge Discovery Approach

Description

Data Mining: A Knowledge Discovery Approach

By Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski, Lukasz A. Kurgan,

Publisher: Springer
Number Of Pages: 505
Publication Date: 2007-02-01
Sales Rank: 601834
ISBN / ASIN: 0387333339
EAN: 9780387333335
Binding: Hardcover
Manufacturer: Springer
Studio: Springer

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 : 1347
2. Multimedia Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
3. Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)
4. Advances in Knowledge Discovery and Data Mining
5. Statistical Data Mining & Knowledge Discovery
6. Data Mining and Knowledge Discovery Technologies
7. Data Mining: Knowledge Discovery Methods
8. Multimedia Data Mining and Knowledge Discovery
9. Data Mining: Knowledge Discovery Methods
10. Knowledge Discovery and Data Mining: Challenges and Realities
11. Soft Computing for Knowledge Discovery and Data Mining
12. Introduction to Data Mining and Knowledge Discovery, Third Edition
13. Advanced Techniques in Knowledge Discovery and Data Mining
14. Geographic Data Mining and Knowledge Discovery, Second Edition
15. Mathematical Methods for Knowledge Discovery and Data Mining
16. Mathematical Methods for Knowledge Discovery and Data Mining