04911nam 22007815 450 99646608090331620200706041942.03-662-54037-110.1007/978-3-662-54037-4(CKB)3710000001006528(DE-He213)978-3-662-54037-4(MiAaPQ)EBC6295004(MiAaPQ)EBC5595662(Au-PeEL)EBL5595662(OCoLC)966665993(PPN)197455190(EXLCZ)99371000000100652820161215d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierTransactions on Large-Scale Data- and Knowledge-Centered Systems XXIX[electronic resource] /edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner1st ed. 2016.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2016.1 online resource (VII, 135 p. 29 illus.) Transactions on Large-Scale Data- and Knowledge-Centered Systems,1869-1994 ;10120Includes index.3-662-54036-3 Sensitivity- An Important Facet of Cluster Validation Process for Entity Matching Technique -- Pay-as-You-Go Configuration of Entity Resolution -- A Unified View of Data-Intensive Flows in Business Intelligence Systems: A Survey -- A Self-Adaptive and Incremental Approach for Data Profiling in the Semantic Web.The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. <This, the 29th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include optimization and cluster validation processes for entity matching, business intelligence systems, and data profiling in the Semantic Web. .Transactions on Large-Scale Data- and Knowledge-Centered Systems,1869-1994 ;10120Database managementData miningArtificial intelligenceInformation storage and retrievalApplication softwareAlgorithmsDatabase Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Database management.Data mining.Artificial intelligence.Information storage and retrieval.Application software.Algorithms.Database Management.Data Mining and Knowledge Discovery.Artificial Intelligence.Information Storage and Retrieval.Information Systems Applications (incl. Internet).Algorithm Analysis and Problem Complexity.005.74Hameurlain Abdelkaderedthttp://id.loc.gov/vocabulary/relators/edtKüng Josefedthttp://id.loc.gov/vocabulary/relators/edtWagner Rolandedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466080903316Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIX2831388UNISA