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000728242 020__ $$a9783662478042$$qelectronic book
000728242 020__ $$a3662478048$$qelectronic book
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000728242 035__ $$aSP(OCoLC)ocn914167301
000728242 035__ $$aSP(OCoLC)914167301
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000728242 050_4 $$aQA76.9.D3$$bD38 2015eb
000728242 08204 $$a005.074$$223
000728242 1112_ $$aDaWaK (Conference)$$n(14th :$$d2012 :$$cVienna, Austria)
000728242 24510 $$aTransactions on large-scale data- and knowledge-centered systems XXI$$h[electronic resource] :$$bselected papers from DaWaK 2012 /$$cAbdelkader Hameurlain [and more] (eds.).
000728242 2463_ $$aTransactions on large-scale data- and knowledge-centered systems 21
000728242 264_1 $$aHeidelberg :$$bSpringer,$$c2015.
000728242 300__ $$a1 online resource (xii, 185 pages) :$$billustrations.
000728242 336__ $$atext$$btxt$$2rdacontent
000728242 337__ $$acomputer$$bc$$2rdamedia
000728242 338__ $$aonline resource$$bcr$$2rdacarrier
000728242 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v9260
000728242 500__ $$aIncludes author index.
000728242 5050_ $$aEfficient Level-Based Top-Down Data Cube Computation Using MapReduce -- Differentiated Multiple Aggregations in Multidimensional Databases -- MIRABEL DW: Managing Complex Energy Data in a Smart Grid -- Modular Neural Networks for Extending OLAP to Prediction -- Cut-and-Rewind: Extending Query Engine for Continuous Stream Analytics -- Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams -- Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants -- Improving Cross-Document Knowledge Discovery Through Content and Link Analysis of Wikipedia Knowledge.
000728242 506__ $$aAccess limited to authorized users.
000728242 520__ $$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 volume, the 21st issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of eight papers selected as the best papers from the 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2012), held in Vienna, Austria, during September 3-6, 2012. These papers cover several advanced Big Data topics, ranging from data cube computation using MapReduce to multiple aggregations over multidimensional databases, from data warehousing systems over complex energy data to OLAP-based prediction models, from extended query engines for continuous stream analytics to popular pattern mining, and from rare pattern mining to enhanced knowledge discovery from large cross-document corpora.
000728242 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 20, 2015).
000728242 650_0 $$aDatabase management$$vCongresses.
000728242 650_0 $$aDatabases$$vCongresses.
000728242 650_0 $$aBig data$$vCongresses.
000728242 650_0 $$aLinked data$$vCongresses.
000728242 7001_ $$aHameurlain, Abdelkader,$$eeditor.
000728242 830_0 $$aLecture notes in computer science ;$$v9260.
000728242 85280 $$bebk$$hSpringerLink
000728242 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-47804-2$$zOnline Access$$91397441.1
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000728242 980__ $$aBIB
000728242 982__ $$aEbook
000728242 983__ $$aOnline
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