Database Support for Data Mining Applications

Rosa Meo

ISBN 10: 3540224793 / ISBN 13: 9783540224792

Published by Springer, Springer Jul 2004, 2004

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge.This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling.The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.

Seller Inventory # 9783540224792

Bibliographic Details

• Title: Database Support for Data Mining Applications
• Publisher: Springer, Springer Jul 2004
• Publication Date: 2004
• Language: English
• ISBN 10: 3540224793
• ISBN 13: 9783540224792
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 522 grams

About this title

Synopsis

Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge.

This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling.

The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.