Knowledge Discovery In Inductive Databases


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Knowledge Discovery in Inductive Databases


Knowledge Discovery in Inductive Databases

Author: Arno Siebes

language: en

Publisher: Springer

Release Date: 2005-02-09


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This book constitutes the thoroughly refereed joint postproceedings of the Third International Workshop on Knowledge Discovery in Inductive Databases, KDID 2004, held in Pisa, Italy in September 2004 in association with ECML/PKDD. Inductive Databases support data mining and the knowledge discovery process in a natural way. In addition to usual data, an inductive database also contains inductive generalizations, like patterns and models extracted from the data. This book presents nine revised full papers selected from 23 submissions during two rounds of reviewing and improvement together with one invited paper. Various current topics in knowledge discovery and data mining in the framework of inductive databases are addressed.

Knowledge Discovery in Inductive Databases


Knowledge Discovery in Inductive Databases

Author: Saso Dzeroski

language: en

Publisher: Springer

Release Date: 2007-09-29


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This book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery in Inductive Databases, KDID 2006, held in association with ECML/PKDD. Bringing together the fields of databases, machine learning, and data mining, the papers address various current topics in knowledge discovery and data mining in the framework of inductive databases such as constraint-based mining, database technology and inductive querying.

Knowledge Discovery in Inductive Databases


Knowledge Discovery in Inductive Databases

Author: Francesco Bonchi

language: en

Publisher: Springer

Release Date: 2006-03-05


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This book presents the thoroughly refereed joint postproceedings of the 4th International Workshop on Knowledge Discovery in Inductive Databases, October 2005. 20 revised full papers presented together with 2 are reproduced here. Bringing together the fields of databases, machine learning, and data mining, the papers address various current topics in knowledge discovery and data mining in the framework of inductive databases such as constraint-based mining, database technology and inductive querying.