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Data Mining: Introductory and Advanced Topics
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Data Mining: Introductory and Advanced Topics (Paperback)

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Margaret Dunham offers the experienced data base professional or graduate level Computer Science student an introduction to the full spectrum of Data Mining concepts and algorithms. Using a database perspective throughout, Professor Dunham examines algorithms, data structures, data types, and complexity of algorithms and space. This text emphasizes the use of data mining concepts in real-world applications with large database components. KEY FEATURES: *Covers advanced topics such as Web Mining and Spatial/Temporal mining *Includes succinct coverage of Data Warehousing, OLAP, Multidimensional Data, and Preprocessing *Provides case studies *Offers clearly written algorithms to better understand techniques *Includes a reference on how to use Prototypes and DM products

Computing & ITComputer scienceArtificial intelligenceMachine learningComputing & ITDatabasesData capture & analysisComputing & ITDatabasesData warehousing Publisher: Pearson Education (US) Publication Date: 22/08/2002 ISBN-13: 9780130888921  Details: Type: Paperback Format: Books
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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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