Knowledge Discovery in Inductive Databases (vol. # 3933)
Publication year: 2006
ISBN: 978-3-540-33293-0
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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.
Subject: Computer Science, algorithms, classification, clustering, constraint-based mining, data management, data mining, database, inductive databases, knowledge discovery, learning, machine learning, multi-objective regression, pattern mining, query languages, query optimization
