Data Mining for Association Rules and Sequential Patterns : Sequential and Parallel Algorithms

Data Mining for Association Rules and Sequential Patterns : Sequential and Parallel Algorithms

Description

Recent advances in data collection, storage technologies, and computing power have made it possible for companies, government agencies and scientific laboratories to keep and manipulate vast amounts of data relating to their activities. This state-of-the-art monograph discusses essential algorithms for sophisticated data mining methods used with large-scale databases, focusing on two key topics: association rules and sequential pattern discovery. This will be an essential book for practitioners and professionals in computer science and computer engineering.


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Details

Author(s)
Jean-Marc Adamo
Format
Hardback | 254 pages
Dimensions
155 x 235 x 16mm | 576g
Publication date
01 Jan 2001
Publisher
Springer-Verlag New York Inc.
Publication City/Country
New York, NY, United States
Language
English
Edition Statement
2001 ed.
Illustrations note
X, 254 p.
ISBN10
0387950486
ISBN13
9780387950488