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Add to basketXVII, 456 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Sprache: Englisch.
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Published by Springer, 2006
Language: English
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Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540313311 ISBN 13: 9783540313311
Language: English
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Add to basketKartoniert / Broschiert. Condition: New. Presents the latest results in inductive querying and constraint-based data miningIdentifies future directions of this newly emerging fieldReports on the results of the European IST project cInQ (con.
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Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2006
ISBN 10: 3540313311 ISBN 13: 9783540313311
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST project 'cInQ' (consortium on knowledge discovery by Inductive Queries) and its final workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.
Published by Springer New York, Springer New York, 2014
ISBN 10: 1489982175 ISBN 13: 9781489982179
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni cation of pattern mining approaches through constraint programming, the clari cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ' rst-class citizens' and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.