03839nam 2200661 a 450 991048466460332120250609110818.03-540-75549-710.1007/978-3-540-75549-4(CKB)1000000000490733(SSID)ssj0000318577(PQKBManifestationID)11224870(PQKBTitleCode)TC0000318577(PQKBWorkID)10311442(PQKB)10918869(DE-He213)978-3-540-75549-4(MiAaPQ)EBC3068604(PPN)123728614(MiAaPQ)EBC336999(BIP)34165065(BIP)17712308(EXLCZ)99100000000049073320070921d2007 uy 0engurnn|008mamaatxtccrKnowledge discovery in inductive databases 5th international workshop, KDID 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers /Saso Dzeroski, Jan Struyf (eds.)1st ed. 2007.Berlin ;New York Springerc20071 online resource (X, 301 p.) Lecture notes in computer science,0302-9743 ;4747LNCS sublibrary. SL 3, Information systems and application, incl. internet/web, and HCIBibliographic Level Mode of Issuance: Monograph3-540-75548-9 Includes bibliographical references and index.Invited Talk -- Value, Cost, and Sharing: Open Issues in Constrained Clustering -- Contributed Papers -- Mining Bi-sets in Numerical Data -- Extending the Soft Constraint Based Mining Paradigm -- On Interactive Pattern Mining from Relational Databases -- Analysis of Time Series Data with Predictive Clustering Trees -- Integrating Decision Tree Learning into Inductive Databases -- Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets -- An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results -- Beam Search Induction and Similarity Constraints for Predictive Clustering Trees -- Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs -- Extracting Trees of Quantitative Serial Episodes -- IQL: A Proposal for an Inductive Query Language -- Mining Correct Properties in Incomplete Databases -- Efficient Mining Under Rich Constraints Derived from Various Datasets -- Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth -- Discussion Paper -- Towards a General Framework for Data Mining.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.LNCS sublibrary.SL 3,Information systems and applications, incl. Internet/Web, and HCI.Lecture notes in computer science ;4747.KDID 2006Database managementCongressesDatabase searchingCongressesData miningCongressesDatabase managementDatabase searchingData mining005.74Dzeroski Saso1968-856308Struyf Jan1763996MiAaPQMiAaPQMiAaPQBOOK9910484664603321Knowledge discovery in inductive databases4204731UNINA