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035   $a(DE-He213)978-3-540-75549-4
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100   $a20100301d2007      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aKnowledge Discovery in Inductive Databases$b[electronic resource] $e5th International Workshop, KDID 2006 Berlin, Germany, September 18th, 2006 Revised Selected and Invited Papers /$fedited by Saso Dzeroski, Jan Struyf
205   $a1st ed. 2007.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007.
215   $a1 online resource (X, 301 p.) 
225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v4747
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-75548-9 
320   $aIncludes bibliographical references and index.
327   $aInvited Talk -- Value, Cost, and Sharing: Open Issues in Constrained Clustering -- Contributed Papers -- Mining Bi-sets in Numerical Data -- Extending the Soft Constraint Based Mining Paradigm -- On Interactive Pattern Mining from Relational Databases -- Analysis of Time Series Data with Predictive Clustering Trees -- Integrating Decision Tree Learning into Inductive Databases -- Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets -- An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results -- Beam Search Induction and Similarity Constraints for Predictive Clustering Trees -- Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs -- Extracting Trees of Quantitative Serial Episodes -- IQL: A Proposal for an Inductive Query Language -- Mining Correct Properties in Incomplete Databases -- Efficient Mining Under Rich Constraints Derived from Various Datasets -- Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth -- Discussion Paper -- Towards a General Framework for Data Mining.
410  0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v4747
606   $aData structures (Computer science)
606   $aDatabase management
606   $aArtificial intelligence
606   $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aData structures (Computer science).
615  0$aDatabase management.
615  0$aArtificial intelligence.
615 14$aData Structures and Information Theory.
615 24$aDatabase Management.
615 24$aArtificial Intelligence.
676   $a005.74
702   $aDzeroski$b Saso$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aStruyf$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a996465624803316
996   $aKnowledge Discovery in Inductive Databases$9771958
997   $aUNISA