, ,

Transactions on Large-Scale Data- and Knowledge-Centered Systems XIV

Paperback Engels 2014 2014e druk 9783662457139
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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 14th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include data stream systems, top-k query processing, semantic web service (SWS) discovery, and XML functional dependencies.

Specificaties

ISBN13:9783662457139
Taal:Engels
Bindwijze:paperback
Aantal pagina's:115
Uitgever:Springer Berlin Heidelberg
Druk:2014

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Inhoudsopgave

Reliable Aggregation over Prioritized Data Streams.- Slicing the Dimensionality: Top-k Query Processing for High-Dimensional Spaces.- SeeVa: A Model Based Framework for Semantic Web Service Discovery.- Maximal Set of XML Functional Dependencies for the Integration of Multiple Systems.

Managementboek Top 100

Rubrieken

Populaire producten

    Personen

      Trefwoorden

        Transactions on Large-Scale Data- and Knowledge-Centered Systems XIV