LEADER 05806nam 22008535 450 001 996198829103316 005 20200630081914.0 010 $a3-662-46335-0 024 7 $a10.1007/978-3-662-46335-2 035 $a(CKB)2560000000326200 035 $a(Springer)9783662463352 035 $a(MH)014293536-0 035 $a(SSID)ssj0001424633 035 $a(PQKBManifestationID)11798399 035 $a(PQKBTitleCode)TC0001424633 035 $a(PQKBWorkID)11363960 035 $a(PQKB)11784903 035 $a(DE-He213)978-3-662-46335-2 035 $a(MiAaPQ)EBC6298456 035 $a(MiAaPQ)EBC5576903 035 $a(Au-PeEL)EBL5576903 035 $a(OCoLC)902725835 035 $a(PPN)183520114 035 $a(EXLCZ)992560000000326200 100 $a20150129d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTransactions on Large-Scale Data- and Knowledge-Centered Systems XVII$b[electronic resource] $eSelected Papers from DaWaK 2013 /$fedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (XIII, 129 p. 57 illus.)$conline resource 225 1 $aTransactions on Large-Scale Data- and Knowledge-Centered Systems,$x1869-1994 ;$v8970 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-46334-2 327 $aData Warehouse Processing Scale-Up for Massive Concurrent Queries with SPIN -- An Uncoupled Data Process and Transfer Model for Map Reduce -- Enhanced Fast Causal Network Inference over Event Streams -- Learning Through Non-linearly Supervised Dimensionality Reduction -- Metrics for Association Rule Clustering Assessment. 330 $aThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 17th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of five papers, selected from the 24 full and 8 short papers presented at the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013, held in Prague, The Czech Republic, in August 2013. Of the five papers, two cover data warehousing aspects related to query processing optimization in advanced platforms, specifically Map Reduce and parallel databases, and three cover knowledge discovery, specifically the causal network inference problem, dimensionality reduction, and the quality-of-pattern-mining task. 410 0$aTransactions on Large-Scale Data- and Knowledge-Centered Systems,$x1869-1994 ;$v8970 606 $aDatabase management 606 $aData mining 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aAlgorithms 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aDatabase management. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aAlgorithms. 615 14$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a005.745 702 $aHameurlain$b Abdelkader$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKüng$b Josef$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWagner$b Roland$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBellatreche$b Ladjel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMohania$b Mukesh$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996198829103316 996 $aTransactions on Large-Scale Data- and Knowledge-Centered Systems XVII$92831583 997 $aUNISA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress