Introduction to Data Mining
Mohammed J. Zaki(Author)
Springer (Publisher)
Published on 1. December 2006
Book
Hardback
340 pages
978-0-387-95315-1 (ISBN)
Description
With the unprecedented rate at which data is being collected today in almost all fields of human endeavor, there is an emerging economic and scientific need to extract useful information from it. Data mining is the process of automatic discovery of patterns, changes, associations, and anomalies in massive databases. This book will provide an introductory survey of the main topics in data mining and knowledge discovery, including: classification, clustering, association rules, sequence similarity, and so on. Emphasis will be laid on performance and implementation issues, as well as on applications such as web mining.
More details
Language
English
Place of publication
New York, NY
United States
Target group
Professional and scholarly
Illustrations
50 b/w Line drawings, 50 s/w Abbildungen
50 illus.
Dimensions
Height: 235 mm
Width: 178 mm
ISBN-13
978-0-387-95315-1 (9780387953151)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Content
* Graph Theory & Lattices * Association Rules * Sequences *Classification * Clustering * Outlier Detection * Rough Sets * GeneticAlgorithms * HMM & Protein Sequences * Web Mining