Proceedings of the 2nd International Workshop on Knowledge Discovery in Inductive Databases (KDID-2003)
Author: Jean-François Boulicaut
Publisher:
Published: 2003
Total Pages: 129
ISBN-13: 9789536690343
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Knowledge Discovery in Inductive Databases
Author: Arno Siebes
Publisher: Springer
Published: 2005-02-09
Total Pages: 197
ISBN-13: 3540318410
DOWNLOAD EBOOK →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
Author: Saso Dzeroski
Publisher: Springer
Published: 2007-09-29
Total Pages: 301
ISBN-13: 3540755497
DOWNLOAD EBOOK →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
Author: Francesco Bonchi
Publisher: Springer
Published: 2006-03-05
Total Pages: 259
ISBN-13: 3540332936
DOWNLOAD EBOOK →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.
Knowledge Discovery in Inductive Databases
Author: Francesco Bonchi
Publisher: Springer Science & Business Media
Published: 2006-03-31
Total Pages: 259
ISBN-13: 3540332928
DOWNLOAD EBOOK →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.
Knowledge Discovery in Inductive Databases
Proceedings of the 5th International workshop on Knowledge discovery in inductive database
Knowledge Discovery in Databases: PKDD 2003
Author: Nada Lavrač
Publisher: Springer Science & Business Media
Published: 2003-09-11
Total Pages: 525
ISBN-13: 3540200851
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003. The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.
Knowledge Discovery in Inductive Databases
Author: Bart Goethals
Publisher: Springer Science & Business Media
Published: 2005-02-23
Total Pages: 197
ISBN-13: 3540250824
DOWNLOAD EBOOK →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, KDID'02
Author: Mika Klemettinen
Publisher:
Published: 2002
Total Pages: 98
ISBN-13: 9789521006388
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