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001 978-3-662-48567-5
003 DE-He213
005 20200421111851.0
007 cr nn 008mamaa
008 151107s2015 gw | s |||| 0|eng d
020 _a9783662485675
_9978-3-662-48567-5
024 7 _a10.1007/978-3-662-48567-5
_2doi
050 4 _aQA75.5-76.95
072 7 _aUNH
_2bicssc
072 7 _aUND
_2bicssc
072 7 _aCOM030000
_2bisacsh
082 0 4 _a025.04
_223
245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXII
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Josef K�ung, Roland Wagner.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2015.
300 _aVII, 185 p. 56 illus. in color.
_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 ;
_v9430
505 0 _aBPMiner: Algorithms for Large-scale Private Analysis -- System Modeling and Trust Evaluation of Distributed Systems -- Efficient Querying of XML Data through Arbitrary Security Views -- Increasing Coverage in Distributed Search and Recommendation with Profile Diversity -- Hypothesis Discovery Exploiting Closed Chains of Relations -- An Analysis of Variance-Based Methods for Data Aggregation in Periodic Sensor Networks.
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, the 22nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include algorithms for large-scale private analysis, modelling of entities from social and digital worlds and their relations, querying virtual security views of XML data, recommendation approaches using diversity-based clustering scores, hypothesis discovery, and data aggregation techniques in sensor netwo rk environments.
650 0 _aComputer science.
650 0 _aMathematical logic.
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 _aInformation Storage and Retrieval.
650 2 4 _aDatabase Management.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMathematical Logic and Formal Languages.
700 1 _aHameurlain, Abdelkader.
_eeditor.
700 1 _aK�ung, Josef.
_eeditor.
700 1 _aWagner, Roland.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662485668
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9430
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-48567-5
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c56117
_d56117