國立虎尾科技大學 |

Transactions on large-scale data- and knowledge-centered systems XXVI = special issue on data warehousing and knowledge discovery /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Transactions on large-scale data- and knowledge-centered systems XXVI/ edited by Abdelkader Hameurlain ... [et al.].
Reminder of title:	special issue on data warehousing and knowledge discovery /
remainder title:	Transactions on large-scale data- and knowledge-centered systems 226
other author:	Hameurlain, Abdelkader.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
Description:	xi, 109 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Databases - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-49784-5
ISBN:	9783662497845

Transactions on large-scale data- and knowledge-centered systems XXVI = special issue on data warehousing and knowledge discovery /
Transactions on large-scale data- and knowledge-centered systems XXVIspecial issue on data warehousing and knowledge discovery /[electronic resource] :Transactions on large-scale data- and knowledge-centered systems 226edited by Abdelkader Hameurlain ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xi, 109 p. :ill., digital ;24 cm. - Lecture notes in computer science,96700302-9743 ;. - Lecture notes in computer science ;6140..

Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data -- Frequent Item-set Border Approximation by Dualization -- Dynamic Materialization for Building Personalized Smart Cubes -- Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.

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 volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.

ISBN: 9783662497845

Standard No.: 10.1007/978-3-662-49784-5doiSubjects--Topical Terms:

675256
Databases
--Congresses.

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.74

Transactions on large-scale data- and knowledge-centered systems XXVI = special issue on data warehousing and knowledge discovery /
LDR:03125nam a2200349 a 4500 001 862982
003 DE-He213
005 20160913103548.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783662497845 $q (electronic bk.)
020 $a 9783662497838 $q (paper)
024 7 $a 10.1007/978-3-662-49784-5 $2 doi
035 $a 978-3-662-49784-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D32
072 7 $a UN $2 bicssc
072 7 $a UMT $2 bicssc
072 7 $a COM021000 $2 bisacsh
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D32 $b T772 2016
245 0 0 $a Transactions on large-scale data- and knowledge-centered systems XXVI $h [electronic resource] : $b special issue on data warehousing and knowledge discovery / $c edited by Abdelkader Hameurlain ... [et al.].
246 3 $a Transactions on large-scale data- and knowledge-centered systems 226
260 $a Berlin, Heidelberg : $c 2016. $b Springer Berlin Heidelberg : $b Imprint: Springer,
300 $a xi, 109 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 9670
505 0 $a Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data -- Frequent Item-set Border Approximation by Dualization -- Dynamic Materialization for Building Personalized Smart Cubes -- Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.
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 volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.
650 0 $a Databases $v Congresses. $3 675256 $3 735810
650 0 $a Data mining $v Congresses. $3 528575
650 0 $a Data warehousing $v Congresses. $3 675491 $3 727867
650 0 $a Big data $v Congresses. $3 882536
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Database Management. $3 669820
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Information Storage and Retrieval. $3 593926
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 593923
700 1 $a Hameurlain, Abdelkader. $3 682029
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-49784-5
950 $a Computer Science (Springer-11645)