Articoli correlati a Knowledge Discovery in Multiple Databases
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A state of the art research monograph that develops the specific and increasingly important area of multiple database mining.
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Recensione
From the reviews:
"The book contains the latest on research in database multi-mining (32 papers published after 2000) and offers for consideration a local-pattern analysis framework for pattern discovery from multiple data sources. Starting from the local pattern in multiple data bases, the authors propose ... a new pattern named ‘high-vote’ pattern based on statistical analysis of vote ratio received by a pattern from each branch of the company." (Silviu Craciunas, Zentralblatt MATH, Vol. 1067, 2005)
Contenuti
Importance of Multi-Database Mining Data Mining and Multi-Database Mining Local Pattern Analysis Identifying Quality Knowledge Database Clustering Dealing with Inconsistency Identifying High-Vote Patterns Identifying Exceptional Patterns Synthesizing Global Patterns from Local Patterns by Weighting Conclusions and Future Work
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Knowledge Discovery in Multiple Databases
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The only book that covers the emerging topic of multiple database mining Focuses on developing new techniques for multi-database miningUrgent need to analyse data in multi-databases as a great deal of multi-databases are widely used in orga. Codice articolo 4183935
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Knowledge Discovery in Multiple Databases
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Knowledge Discovery in Multiple Databases (Advanced Information and Knowledge Processing)
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Condizione: New. SUPER FAST SHIPPING. Codice articolo 9781447110507
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Knowledge Discovery in Multiple Databases
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Springer London, Springer London Okt 2012, 2012
ISBN 10: 1447110501
ISBN 13: 9781447110507
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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 -Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. Codice articolo 9781447110507
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Knowledge Discovery in Multiple Databases (Advanced Information and Knowledge Processing)
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Knowledge Discovery in Multiple Databases
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining. Codice articolo 9781447110507
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Condizione: As New. Unread book in perfect condition. Codice articolo 19199633
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Knowledge Discovery in Multiple Databases
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Condizione: New. 2012. Softcover reprint of the original 1st ed. 2004. Paperback. Series: Advanced Information and Knowledge Processing. Num Pages: 245 pages, 40 black & white tables, biography. BIC Classification: UB; UNH. Category: (P) Professional & Vocational. Dimension: 236 x 157 x 13. Weight in Grams: 366. . . . . . Codice articolo V9781447110507
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Knowledge Discovery in Multiple Databases
Editore:
Springer London Okt 2012, 2012
ISBN 10: 1447110501
ISBN 13: 9781447110507
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining. 248 pp. Englisch. Codice articolo 9781447110507
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Knowledge Discovery in Multiple Databases (Advanced Information and Knowledge Processing)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condizione: New. Codice articolo ABLIING23Mar2411530316071
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