Database Support for Data Mining Applications : Discovering Knowledge with Inductive Queries
Language: English
Published by Springer, 2004
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 57.67
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9783540224792
- Title
- Database Support for Data Mining Applications : Discovering Knowledge with Inductive Queries
- Author
- Pier L. Lanzi
- Publisher
- Springer
- Publication year
- 2004
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3540224793
- ISBN 13
- 9783540224792
- Item weight
- 522 grams
- Dimensions
- 235x155x19 mm
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.
"Synopsis" may belong to another edition of this title.
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