Data Mining: Introductory and Advanced Topics - Rilegato

Dunham, Margaret H.

 
9780130888921: Data Mining: Introductory and Advanced Topics
Rilegato
ISBN 10: 0130888923 ISBN 13: 9780130888921
Casa editrice: Pearson College Div, 2002

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Dalla quarta di copertina

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

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Pearson College Div
Data di pubblicazione
2002
Lingua
Inglese
ISBN 10 
0130888923
ISBN 13 
9780130888921
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
350
Contatto del produttore
non disponibile
Persona responsabile
Pearson
riccardo.bacigalupo@sanoma.it

Sanoma Italia Via Arconati, 1 �
Milano
Italia

Altre edizioni note dello stesso titolo

9788178089966: Data Mining Introductory and Advanced Topics (Paperback)

Edizione in evidenza

ISBN 10:  8178089963 ISBN 13:  9788178089966
Casa editrice: Pearson Education Inc.
Brossura