Data Mining: Introductory and Advanced Topics

-

ISBN 10: 0130888923 / ISBN 13: 9780130888921

Published by -, 2020

About this Item

Data Mining: Introductory and Advanced Topics This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Seller Inventory # 7719-9780130888921

Bibliographic Details

Title: Data Mining: Introductory and Advanced Topics

Publisher: -

Publication Date: 2020

Binding: Paperback

Condition: Very Good

About this title

Synopsis:

Thorough in its coverage from basic to advanced topics, this book presents the key algorithms and techniques used in data mining. An emphasis is placed on the use of data mining concepts in real world applications with large database components. KEY TOPICS: Includes unique chapters on Web mining, spatial mining, temporal mining, and prototypes and DM products. Separate case studies section highlights real world applications. MARKET: An excellent reference book for computer database professionals and researchers.

About the Author:

Margaret H. Dunham received the B.A. and the M.S. in mathematics from Miami University in Oxford, Ohio. She earned the Ph.D. degree in computer science from Southern Methodist University. Professor Dunham's research interests encompass main memory databases, data mining, temporal databases, and mobile computing. She is currently an Associate Editor for IEEE Transactions on Knowledge and Data Engineering. She has published numerous technical papers in such research areas as database concurrency control and recovery, database machines, main memory databases, and mobile computing.