Data Mining: Introductory and Advanced Topics - Tapa dura

Margaret, Dunham

 
9780130888921: Data Mining: Introductory and Advanced Topics
Tapa dura
ISBN 10: 0130888923 ISBN 13: 9780130888921
Editorial: Financial Times Prentice Hall, 2002

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Financial Times Prentice Hall
Año de publicación
2002
Idioma
Inglés
ISBN 10 
0130888923
ISBN 13 
9780130888921
Encuadernación
Tapa dura
Número de páginas
336
Contacto del fabricante
no disponible
Persona responsable
Riccardo Bacigalupo
riccardo.bacigalupo@sanoma.it

Sanoma Italia Via Arconati, 1 �
Milano
20135
Italia

Otras ediciones populares con el mismo título

9788178089966: Data Mining Introductory and Advanced Topics (Paperback)

Edición Destacada

ISBN 10:  8178089963 ISBN 13:  9788178089966
Editorial: Pearson Education Inc.
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