東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Transactions on large-scale data- an...

Hameurlain, Abdelkader.

Linked to FindBook

Google Book

Amazon

博客來

Transactions on large-scale data- and knowledge-centered systems XX = special issue on advances techniques for big data management /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transactions on large-scale data- and knowledge-centered systems XX/ edited by Abdelkader Hameurlain ... [et al.].
Reminder of title:	special issue on advances techniques for big data management /
remainder title:	Transactions on large-scale data- and knowledge-centered systems 20
other author:	Hameurlain, Abdelkader.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xi, 159 p. :ill., digital ;24 cm.
[NT 15003449]:	A 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.
Contained By:	Springer eBooks
Subject:	Database management. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-46703-9
ISBN:	9783662467039 (electronic bk.)

Transactions on large-scale data- and knowledge-centered systems XX = special issue on advances techniques for big data management /
Transactions on large-scale data- and knowledge-centered systems XXspecial issue on advances techniques for big data management /[electronic resource] :Transactions on large-scale data- and knowledge-centered systems 20edited by Abdelkader Hameurlain ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xi, 159 p. :ill., digital ;24 cm. - Lecture notes in computer science,90700302-9743 ;. - Lecture notes in computer science ;5353..

A 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.

The 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.

ISBN: 9783662467039 (electronic bk.)

Standard No.: 10.1007/978-3-662-46703-9doiSubjects--Topical Terms:

527442
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Transactions on large-scale data- and knowledge-centered systems XX = special issue on advances techniques for big data management /
LDR:03903nmm a2200349 a 4500 001 1997862
003 DE-He213
005 20151023144545.0
006 m d
007 cr nn 008maaau
008 151112s2015 gw s 0 eng d
020 $a 9783662467039 (electronic bk.)
020 $a 9783662467022 (paper)
024 7 $a 10.1007/978-3-662-46703-9 $2 doi
035 $a 978-3-662-46703-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3
072 7 $a UNH $2 bicssc
072 7 $a UDBD $2 bicssc
072 7 $a COM032000 $2 bisacsh
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b T772 2015
245 0 0 $a Transactions on large-scale data- and knowledge-centered systems XX $h [electronic resource] : $b special issue on advances techniques for big data management / $c edited by Abdelkader Hameurlain ... [et al.].
246 3 $a Transactions on large-scale data- and knowledge-centered systems 20
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xi, 159 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 9070
505 0 $a A 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 $a The 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 $a Database management. $3 527442
650 0 $a Big data. $3 2045508
650 0 $a Linked data. $3 2061950
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Database Management. $3 891010
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Information Storage and Retrieval. $3 761906
650 2 4 $a Management of Computing and Information Systems. $3 892490
700 1 $a Hameurlain, Abdelkader. $3 908071
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 5353. $x 0302-9743 $3 1274248
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-46703-9
950 $a Computer Science (Springer-11645)