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020 _a9783662467039
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024 7 _a10.1007/978-3-662-46703-9
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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 Küng, Roland Wagner, Sherif Sakr, Lizhe Wang, Albert Zomaya.
250 _a1st ed. 2015.
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
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_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 _aApplication software.
_9162783
650 0 _aComputer networks .
_931572
650 0 _aDatabase management.
_93157
650 0 _aArtificial intelligence.
_93407
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aElectronic data processing
_xManagement.
_9162784
650 1 4 _aComputer and Information Systems Applications.
_9162785
650 2 4 _aComputer Communication Networks.
_9162786
650 2 4 _aDatabase Management.
_93157
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aIT Operations.
_931703
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162787
700 1 _aKüng, Josef.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162788
700 1 _aWagner, Roland.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162789
700 1 _aSakr, Sherif.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162790
700 1 _aWang, Lizhe.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162791
700 1 _aZomaya, Albert.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162792
710 2 _aSpringerLink (Online service)
_9162793
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662467022
776 0 8 _iPrinted edition:
_z9783662467046
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v9070
_9162794
856 4 0 _uhttps://doi.org/10.1007/978-3-662-46703-9
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