Data Mining Margaret Dunham

Name: Data Mining von Margaret Dunham
SKU: 9780130888921
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Data Mining Margaret Dunham

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Zusammenfassung

For courses in data mining. Thorough in its coverage from basic to advanced topics, this text presents the algorithms and techniques used in data mining. It introduces readers to various data mining concepts and algorithms.

Data Mining Zusammenfassung

Data Mining: Introductory and Advanced Topics Margaret Dunham

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.

Data Mining Bewertungen

"It is the best book on data mining so far, and I would definitely adopt it for my course. The book is very comprehensive and covers all of the data mining topics and algorithms of which 1 am aware. The depth of coverage of each topic or method is exactly right and appropriate. Each algorithm is presented in pseudocode that is sufficient for any interested readers to convert into a working implementation in a computer language of their choice." Michael H. Huhns, University of South Carolina "Discussion on distributed, parallel, and incremental algorithms is outstanding." Zoran Obradovic, Temple University

Über Margaret Dunham

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.

Inhaltsverzeichnis

I. INTRODUCTION. 1. Introduction. 2. Related Concepts. 3. Data Mining Techniques. II. CORE TOPICS. 4. Classification. 5. Clustering. 6. Association Rules. III. ADVANCED TOPICS. 7. Web Mining. 8. Spatial Mining. 9. Temporal Mining. IV. APPENDIX. 10. Data Mining Products.

Zusätzliche Informationen

Sku

GOR002949612

ISBN 13

9780130888921

ISBN 10

0130888923

Titel

Data Mining: Introductory and Advanced Topics Margaret Dunham

Autor

Margaret Dunham

Zustand

Gebraucht - Sehr Gut

Bindung

Broschiert

Verlag

Pearson Education (US)

Datum

2002-09-13

Anzahl der Seiten

336

Preise

N/A

Begleitschreiben

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Hinweis

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