000			03823nam a22006015i 4500
001			978-3-642-23740-9
003			DE-He213
005			20140220083812.0
007			cr nn 008mamaa
008			110924s2011 gw | s |||| 0|eng d
020			_a9783642237409 _9978-3-642-23740-9
024	7		_a10.1007/978-3-642-23740-9 _2doi
050		4	_aQA76.9.D3
072		7	_aUN _2bicssc
072		7	_aUMT _2bicssc
072		7	_aCOM021000 _2bisacsh
082	0	4	_a005.74 _223
100	1		_aHameurlain, Abdelkader. _eeditor.
245	1	0	_aTransactions on Large-Scale Data- and Knowledge-Centered Systems IV _h[electronic resource] : _bSpecial Issue on Database Systems for Biomedical Applications / _cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Christian Böhm, Johann Eder, Claudia Plant.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXI, 209 p. _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 ; _v6990
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 special issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems highlights some of the major challenges emerging from the biomedical applications that are currently inspiring and promoting database research. These include the management, organization, and integration of massive amounts of heterogeneous data; the semantic gap between high-level research questions and low-level data; and privacy and efficiency. The contributions cover a large variety of biological and medical applications, including genome-wide association studies, epidemic research, and neuroscience.
650		0	_aComputer science.
650		0	_aData structures (Computer science).
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aInformation storage and retrieval systems.
650	1	4	_aComputer Science.
650	2	4	_aDatabase Management.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aInformation Systems Applications (incl. Internet).
650	2	4	_aData Structures.
650	2	4	_aData Storage Representation.
700	1		_aKüng, Josef. _eeditor.
700	1		_aWagner, Roland. _eeditor.
700	1		_aBöhm, Christian. _eeditor.
700	1		_aEder, Johann. _eeditor.
700	1		_aPlant, Claudia. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642237393
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v6990
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-23740-9
912			_aZDB-2-SCS
912			_aZDB-2-LNC
999			_c108391 _d108391