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001			978-3-662-49784-5
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020			_a9783662497845 _9978-3-662-49784-5
050		4	_aQA76.9.D3
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072		7	_aCOM021000 _2bisacsh
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245	1	0	_aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXVI _h[recurso electrónico] : _bSpecial Issue on Data Warehousing and Knowledge Discovery / _cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania.
250			_a1st ed. 2016.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2016.
300			_aXI, 109 p. 43 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _v9670
505	0		_aBanded Pattern Mining Algorithms in Multi-dimensional Zero-One Data -- Frequent Item-set Border Approximation by Dualization -- Dynamic Materialization for Building Personalized Smart Cubes -- Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.
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 26th 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 four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.
650		0	_aComputer science.
650		0	_aAlgorithms.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aInformation storage and retrieval.
650		0	_aArtificial intelligence.
650	1	4	_aComputer Science.
650	2	4	_aDatabase Management.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
700	1		_aHameurlain, Abdelkader. _eeditor.
700	1		_aKüng, Josef. _eeditor.
700	1		_aWagner, Roland. _eeditor.
700	1		_aBellatreche, Ladjel. _eeditor.
700	1		_aMohania, Mukesh. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783662497838
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v9670
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-662-49784-5
912			_aZDB-2-SCS
912			_aZDB-2-LNC
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999			_c227902 _d227902