Data Mining: Introductory and Advanced Topics

Dunham, Margaret H.

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ISBN 10: 0130888923 ISBN 13: 9780130888921
Published by Pearson, 2020
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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.

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Bibliographic Details

Title: Data Mining: Introductory and Advanced Topics
Publisher: Pearson
Publication Date: 2020
Binding: Hardcover
Condition: good

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