國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Transactions on large-scale data- an...

Hameurlain, Abdelkader.

Transactions on large-scale data- and knowledge-centered systems XXXV

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Transactions on large-scale data- and knowledge-centered systems XXXVedited by Abdelkader Hameurlain ... [et al.].
其他題名:	Transactions on large-scale data- and knowledge-centered systems 35
其他作者:	Hameurlain, Abdelkader.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2017.
面頁冊數:	ix, 133 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Databases.
電子資源:	http://dx.doi.org/10.1007/978-3-662-56121-8
ISBN:	9783662561218$q(electronic bk.)

Transactions on large-scale data- and knowledge-centered systems XXXV
Transactions on large-scale data- and knowledge-centered systems XXXV[electronic resource] /Transactions on large-scale data- and knowledge-centered systems 35edited by Abdelkader Hameurlain ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - ix, 133 p. :ill., digital ;24 cm. - Lecture notes in computer science,106800302-9743 ;. - Lecture notes in computer science ;4891..

The Data Quality Framework for the Estonian Public Sector and Its Evaluation -- Bridging the Gap between the Business and Social Worlds: A Data Artifact-Driven Approach -- Privacy-Preserving Querying on Privately Encrypted Data in the Cloud -- Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply -- Cloud Computing Adoption in Healthcare Organisations: A Qualitative Study in Saudi Arabia.

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 volume, the 35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a data-driven approach to bridging the gap between the business and social worlds; privacy-preserving querying on privately encrypted data in the cloud; algorithms for the prediction of norovirus concentration in drinking water; and cloud computing in healthcare organizations in Saudi Arabia.

ISBN: 9783662561218$q(electronic bk.)

Standard No.: 10.1007/978-3-662-56121-8doiSubjects--Topical Terms:

218042
Databases.

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.74

Transactions on large-scale data- and knowledge-centered systems XXXV
LDR:03321nmm a2200349 a 4500 001 525106
003 DE-He213
005 20171110124606.0
006 m d
007 cr nn 008maaau
008 180904s2017 gw s 0 eng d
020 $a 9783662561218$q(electronic bk.)
020 $a 9783662561201$q(paper)
024 7 $a 10.1007/978-3-662-56121-8 $2 doi
035 $a 978-3-662-56121-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D32
072 7 $a UR $2 bicssc
072 7 $a UTN $2 bicssc
072 7 $a COM053000 $2 bisacsh
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D32 $b T772 2017
245 0 0 $a Transactions on large-scale data- and knowledge-centered systems XXXV $h [electronic resource] / $c edited by Abdelkader Hameurlain ... [et al.].
246 3 $a Transactions on large-scale data- and knowledge-centered systems 35
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2017.
300 $a ix, 133 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10680
505 0 $a The Data Quality Framework for the Estonian Public Sector and Its Evaluation -- Bridging the Gap between the Business and Social Worlds: A Data Artifact-Driven Approach -- Privacy-Preserving Querying on Privately Encrypted Data in the Cloud -- Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply -- Cloud Computing Adoption in Healthcare Organisations: A Qualitative Study in Saudi Arabia.
520 $a 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 volume, the 35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a data-driven approach to bridging the gap between the business and social worlds; privacy-preserving querying on privately encrypted data in the cloud; algorithms for the prediction of norovirus concentration in drinking water; and cloud computing in healthcare organizations in Saudi Arabia.
650 0 $a Databases. $3 218042
650 0 $a Semantic Web. $3 208252
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Systems and Data Security. $3 274481
650 2 4 $a Computers and Society. $3 273764
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Information Storage and Retrieval. $3 274190
700 1 $a Hameurlain, Abdelkader. $3 286401
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-56121-8
950 $a Computer Science (Springer-11645)