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024 7 _a10.1007/978-3-662-53416-8
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXVII
_h[electronic resource] :
_bSpecial Issue on Big Data for Complex Urban Systems /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Amin Anjomshoaa, Patrick C. K. Hung, Dominik Kalisch, Stanislav Sobolevsky.
250 _a1st ed. 2016.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aXII, 209 p. 70 illus.
_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 ;
_v9860
505 0 _aDevelopment of a Measurement Scale for User Satisfaction with E-Tax Systems in Australia -- Data Driven Governments: Creating Value through Open Government Data -- Collaborative Construction of an Open Official Gazette -- A Solution to Visualize Open Urban Data for Illegally Parked Bicycles -- An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact -- Characterization of Behavioral Patterns Exploiting Description of Geographical Areas -- Analysis of Customers’ Spatial Distribution through Transaction Datasets -- Case Studies for Data-Oriented Emergency Management/Planning in Complex Urban Systems.
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 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban Systems symposium, held in Kauai, HI, USA in January 2016. The papers explore the use of big data in complex urban systems in the areas of politics, society, commerce, tax, and emergency management.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aInformation storage and retrieval systems.
650 0 _aAlgorithms.
650 0 _aComputer science.
650 1 4 _aDatabase Management.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aArtificial Intelligence.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aAlgorithms.
650 2 4 _aTheory of Computation.
700 1 _aHameurlain, Abdelkader.
_eeditor.
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700 1 _aKüng, Josef.
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700 1 _aWagner, Roland.
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700 1 _aAnjomshoaa, Amin.
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700 1 _aHung, Patrick C. K.
_eeditor.
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700 1 _aKalisch, Dominik.
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700 1 _aSobolevsky, Stanislav.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v9860
856 4 0 _uhttps://doi.org/10.1007/978-3-662-53416-8
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