Webservices oriented data mining in knowledge architecture

  • Authors:
  • Richard Olejnik;Teodor-Florin Fortiş;Bernard Toursel

  • Affiliations:
  • Lab. d'Informatique Fondamentale de Lille (LIFL UMR CNRS 8022), Univ. des Sciences et Technologies de Lille (USTL), Lille, France;Department of Computer Science, Faculty of Mathematics and Computer Science, West University of Timişoara, Timişoara, Romania;Lab. d'Informatique Fondamentale de Lille (LIFL UMR CNRS 8022), Univ. des Sciences et Technologies de Lille (USTL), Lille, France

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2009

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Abstract

Massive parallelism is required for an efficient solution to data mining tasks, considering the proliferation of data and the need for high computational effort. The DisDaMin (Distributed Data Mining) project addressed distributed discovery and knowledge discovery through parallelization of data mining tasks. DisDaMin algorithms are based on the DG-ADAJ (Desktop-Grid Adaptive Application in Java), a middleware platform for Desktop Grid used as a deployment mechanism for DisDaMin algorithms. On the top of DG-ADAJ, SOA specific components could be employed to provide additional features and to improve current operation. An ESB (Enterprise Service Bus) built on the top of DG-ADAJ is going to provide improved availability, solve interoperability issues by exposing services through well established interfaces, and offer a loosely coupled infrastructure. An additional enactment layer is going to improve the performance of intelligent fragmentation of data, offering at the same time the necessary support for the execution of data workflows.