Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries: 2682 - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Database Languages and Query Execution.- Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach.- Query Languages Supporting Descriptive Rule Mining: A Comparative Study.- Declarative Data Mining Using SQL3.- Towards a Logic Query Language for Data Mining.- A Data Mining Query Language for Knowledge Discovery in a Geographical Information System.- Towards Query Evaluation in Inductive Databases Using Version Spaces.- The GUHA Method, Data Preprocessing and Mining.- Constraint Based Mining of First Order Sequences in SeqLog.- Support for KDD-Process.- Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS.- Frequent Itemset Discovery with SQL Using Universal Quantification.- Deducing Bounds on the Support of Itemsets.- Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data.- Condensed Representations for Sets of Mining Queries.- One-Sided Instance-Based Boundary Sets.- Domain Structures in Filtering Irrelevant Frequent Patterns.- Integrity Constraints over Association Rules.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Database Support for Data Mining Applications
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Springer Berlin Heidelberg Jul 2004, 2004
ISBN 10: 3540224793
ISBN 13: 9783540224792
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 344 pp. Englisch. Codice articolo 9783540224792
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Database Support for Data Mining Applications
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Springer Berlin Heidelberg, 2004
ISBN 10: 3540224793
ISBN 13: 9783540224792
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 hidde. Codice articolo 4885559
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Database Support for Data Mining Applications
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Springer, Springer Jul 2004, 2004
ISBN 10: 3540224793
ISBN 13: 9783540224792
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. 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. Codice articolo 9783540224792
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Database Support for Data Mining Applications : Discovering Knowledge with Inductive Queries
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Taschenbuch. Condizione: Neu. 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. Codice articolo 9783540224792
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Database Support for Data Mining Applications : Discovering Knowledge with Inductive Queries
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Condizione: Gut. Zustand: Gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 1628565/3
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