Data Mining: Introductory and Advanced Topics

Dunham, Margaret H.

ISBN 10: 0130888923 / ISBN 13: 9780130888921

Published by Pearson, 2020

About this Item

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Seller Inventory # BSM.N496

Bibliographic Details

• Title: Data Mining: Introductory and Advanced Topics
• Publisher: Pearson
• Publication Date: 2020
• Language: English
• ISBN 10: 0130888923
• ISBN 13: 9780130888921
• Binding: Hardcover
• Condition: 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. Includes unique chapters on Web mining, spatial mining, temporal mining, and prototypes and DM products. Separate case studies section highlights real world applications. 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.