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Paperback or Softback. Condizione: New. Knowledge Discovery in Inductive Databases: 4th International Workshop, Kdid 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Pape. Book.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: New. pp. 266.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2006
ISBN 10: 3540332928 ISBN 13: 9783540332923
Da: moluna, Greven, Germania
EUR 60,97
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Aggiungi al carrelloCondizione: New. Presents the thoroughly refereed joint postproceedings of the 4th International Workshop on Knowledge Discovery in Inductive DatabasesThe papers address a range of current topics in knowledge discovery and data mining in the framework of inductive.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 112,29
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Lingua: Inglese
Editore: Springer, Berlin, Springer, 2006
ISBN 10: 3540332928 ISBN 13: 9783540332923
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Ever since the start of the eld of data mining, it has been realized that the integration of the database technology into knowledge discovery processes was a crucial issue. This vision has been formalized into the inductive database perspective introduced by T. Imielinski and H. Mannila (CACM 1996, 39(11)). The main idea is to consider knowledge discovery as an extended querying p- cess for which relevant query languages are to be speci ed. Therefore, inductive databases might contain not only the usual data but also inductive gener- izations (e. g. , patterns, models) holding within the data. Despite many recent developments, there is still a pressing need to understand the central issues in inductive databases. Constraint-based mining has been identi ed as a core technology for inductive querying, and promising results have been obtained for rather simple types of patterns (e. g. , itemsets, sequential patterns). However, constraint-based mining of models remains a quite open issue. Also, coupling schemes between the available database technology and inductive querying p- posals are not yet well understood. Finally, the de nition of a general purpose inductive query language is still an on-going quest.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 266 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 266.