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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.
ISBN: 9783540224792
Sprache: Englisch
Seitenzahl: 332
Produktart: Kartoniert / Broschiert
Herausgeber: Klemettinen, Mika Lanzi, Pier L. Meo, Rosa
Verlag: Springer Berlin
Veröffentlicht: 28.07.2004
Untertitel: Discovering Knowledge with Inductive Queries
Schlagworte: DOM association rules data analysis database management systems database mining database query languages data mining declarative data mining inductive queries information system