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020 _a9783642237409
_9978-3-642-23740-9
024 7 _a10.1007/978-3-642-23740-9
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072 7 _aUN
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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 Christian Böhm, Johann Eder, Claudia Plant.
250 _a1st ed. 2011.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXI, 209 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_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 _aDatabase management.
_93157
650 0 _aData mining.
_93907
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aApplication software.
_9162765
650 0 _aArtificial intelligence
_xData processing.
_921787
650 0 _aInformation retrieval.
_910134
650 0 _aComputer architecture.
_93513
650 1 4 _aDatabase Management.
_93157
650 2 4 _aData Mining and Knowledge Discovery.
_9162766
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputer and Information Systems Applications.
_9162767
650 2 4 _aData Science.
_934092
650 2 4 _aData Storage Representation.
_931576
700 1 _aBöhm, Christian.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9162768
700 1 _aEder, Johann.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9162769
700 1 _aPlant, Claudia.
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_4http://id.loc.gov/vocabulary/relators/edt
_9162770
710 2 _aSpringerLink (Online service)
_9162771
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642237393
776 0 8 _iPrinted edition:
_z9783642237416
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v6990
_9162772
856 4 0 _uhttps://doi.org/10.1007/978-3-642-23740-9
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