Soft Computing For Knowledge Discovery And Data Mining

MAIMON O.

ISBN 10: 0387699341 / ISBN 13: 9780387699349

Published by SP SPRINGER, 2008

Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. Seller Inventory # CB 9780387699349

Synopsis:

Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.

Soft Computing for Knowledge Discovery and Data Mining introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining. This edited volume by highly regarded authors, includes several contributors of the 2005, Data Mining and Knowledge Discovery Handbook.  This book was written to provide investigators in the fields of information systems, engineering, computer science, statistics and management with a profound source for the role of soft computing in data mining. Not only does this book feature illustrations of various applications including manufacturing, medical, banking, insurance and others, but also includes various real-world case studies with detailed results.

Soft Computing for Knowledge Discovery and Data Mining is designed for practitioners and researchers in industry. Practitioners and researchers may be particularly interested in the description of real world data mining projects performed with soft computing. This book is also suitable as a secondary textbook or reference for advanced-level students in information systems, engineering, computer science and statistics management.

 

 

From the Back Cover:

Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful and insightful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. Soft Computing for Knowledge Discovery and Data Mining introduces theoretical approaches and practical computing methods extending the envelope of problems that data mining can solve efficiently. From the editors of the leading Data Mining and Knowledge Discovery Handbook, 2005, this volume, by highly regarded authors, includes selected contributors of the Handbook.

The first three parts of this book are devoted to the principal constituents of soft computing: neural networks, evolutionary algorithms and fuzzy logic.  The last part compiles the recent advances in soft computing for data mining, such as swarm intelligence, diffusion process and agent technology.

This book was written to provide investigators in the fields of information systems, engineering, computer science, operations research, bio-informatics, statistics and management with a profound source for the role of soft computing in data mining. Not only does this book feature illustrations of various applications including marketing, manufacturing, medical, and others, but it also includes various real-world case studies with detailed results.

Soft Computing for Knowledge Discovery and Data Mining is designed for theoreticians, researchers and advanced practitioners in industry.  Practitioners may be particularly interested in the description of real world data mining projects performed with soft computing. This book is also suitable as a textbook or reference for advanced-level students in mathematical quantitative methods in the above fields.

About the editors:  Oded Maimon is Full Professor at the Department of Industrial Engineering, Tel-Aviv University, Israel. Lior Rokach is Assistant Professor at theDepartment of Information System Engineering, Ben-Gurion University of the Negev, Israel. Maimon and Rokach are recognized international experts in data mining and business intelligence, and serve in leading positions in this field. They have written numerous scientific articles and are the editors of the complete Data Mining and Knowledge Discovery Handbook (2005).  They have jointly authored two of the best detailed books in the field of data mining: Decomposition Methodology for Knowledge Discovery and Data Mining (2005), and Data Mining with Decision Trees (2007).

 

Bibliographic Details

Title: Soft Computing For Knowledge Discovery And ...
Publisher: SP SPRINGER
Publication Date: 2008
Binding: Hardcover
Condition: New
Edition: International Edition