Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII : Special Issue on Database- and Expert-Systems Applications / edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Qimin Chen.

Format:

Book

Contributor:

Hameurlain, Abdelkader, editor.

Küng, Josef, editor.

Wagner, Roland, editor.

Chen, Qimin, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Transactions on Large-Scale Data- and Knowledge-Centered Systems, 1869-1994 ; 9940.

Transactions on Large-Scale Data- and Knowledge-Centered Systems, 1869-1994 ; 9940

Language:

English

Subjects (All):

Database management.

Data mining.

Artificial intelligence.

Information storage and retrieval.

Application software.

Algorithms.

Database Management.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Algorithm Analysis and Problem Complexity.

Local Subjects:

Database Management.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (XI, 157 pages) : 43 illustrations.

Edition:

First edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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 28th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of six papers presented at the 26th International Conference on Database- and Expert-Systems Applications, DEXA 2015, held in Valencia, Spain, in September 2015. Topics covered include efficient graph processing, machine learning on big data, multistore big data integration, ontology matching, and the optimization of histograms for the Semantic Web.

Contents:

Accelerating Set Similarity Joins Using GPUs

Divide-and-Conquer Parallelism for Learning Mixture Models

Multistore Big Data Integration with CloudMdsQL

Ontology Matching with Knowledge Rules

Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning

Workload-Aware Self-tuning Histograms for the Semantic Web.

Other Format:

Printed edition:

ISBN:

978-3-662-53455-7

9783662534557

Access Restriction:

Restricted for use by site license.