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020 _a9783662467039
_9978-3-662-46703-9
024 7 _a10.1007/978-3-662-46703-9
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XX
_h[electronic resource] :
_bSpecial Issue on Advanced Techniques for Big Data Management /
_cedited by Abdelkader Hameurlain, Josef K�ung, Roland Wagner, Sherif Sakr, Lizhe Wang, Albert Zomaya.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2015.
300 _aXI, 159 p. 64 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 ;
_v9070
505 0 _aA Proxy Service for Multi-tenant Elastic Extension Tables -- Boosting Streaming Video Delivery with WiseReplica -- A Cloud-Based, Geospatial Linked Data Management System -- A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach -- Performance Analysis of Adapting a MapReduce Framework to Dynamically Accommodate Heterogeneity -- An Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art.
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 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia.
650 0 _aComputer science.
650 0 _aComputer communication systems.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval.
650 0 _aArtificial intelligence.
650 0 _aManagement information systems.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aComputer Communication Networks.
650 2 4 _aDatabase Management.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aManagement of Computing and Information Systems.
700 1 _aHameurlain, Abdelkader.
_eeditor.
700 1 _aK�ung, Josef.
_eeditor.
700 1 _aWagner, Roland.
_eeditor.
700 1 _aSakr, Sherif.
_eeditor.
700 1 _aWang, Lizhe.
_eeditor.
700 1 _aZomaya, Albert.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662467022
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9070
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-46703-9
912 _aZDB-2-SCS
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