LEADER 06664nam 22009015 450 001 9910484154903321 005 20200704085024.0 010 $a3-662-46703-8 024 7 $a10.1007/978-3-662-46703-9 035 $a(CKB)3710000000379746 035 $a(SSID)ssj0001465765 035 $a(PQKBManifestationID)11892118 035 $a(PQKBTitleCode)TC0001465765 035 $a(PQKBWorkID)11478955 035 $a(PQKB)10072976 035 $a(DE-He213)978-3-662-46703-9 035 $a(MiAaPQ)EBC6285484 035 $a(MiAaPQ)EBC5592015 035 $a(Au-PeEL)EBL5592015 035 $a(OCoLC)905495168 035 $a(PPN)184895103 035 $a(EXLCZ)993710000000379746 100 $a20150317d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aTransactions on Large-Scale Data- and Knowledge-Centered Systems XX$b[electronic resource] $eSpecial Issue on Advanced Techniques for Big Data Management /$fedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Sherif Sakr, Lizhe Wang, Albert Zomaya 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (XI, 159 p. 64 illus.) 225 1 $aTransactions on Large-Scale Data- and Knowledge-Centered Systems,$x1869-1994 ;$v9070 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-46702-X 327 $aA Proxy Service for Multi-tenant Elastic Extension Tables -- Boosting Streaming Video Delivery with WiseReplica -- A Cloud-Based, Geospatial Linked Data Management System -- A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach -- Performance Analysis of Adapting a MapReduce Framework to Dynamically Accommodate Heterogeneity -- An Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art. 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 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia. 410 0$aTransactions on Large-Scale Data- and Knowledge-Centered Systems,$x1869-1994 ;$v9070 606 $aApplication software 606 $aComputer communication systems 606 $aDatabase management 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aManagement information systems 606 $aComputer science 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 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 $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067 615 0$aApplication software. 615 0$aComputer communication systems. 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aManagement information systems. 615 0$aComputer science. 615 14$aInformation Systems Applications (incl. Internet). 615 24$aComputer Communication Networks. 615 24$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aManagement of Computing and Information Systems. 676 $a005.74 702 $aHameurlain$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 $aSakr$b Sherif$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Lizhe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZomaya$b Albert$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484154903321 996 $aTransactions on Large-Scale Data- and Knowledge-Centered Systems XX$92831581 997 $aUNINA