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Visual Data Mining Framework Based on Peer-to-Peer Architecture

Authors:
Abdelkrim Hamadi
Fahima Nader

Keywords: Visual Data Mining; Peer-to-Peer Architecture; JXTA specification

Abstract:
Nowadays, the continuous hardware evolution is driving computer systems to be able to store large amounts of data; therefore, exploring and analyzing this huge volume of data is becoming more and more difficult to manage. Peer-to-Peer (P2P) network produce more computing power in terms of processing, communication systems and large storage. Visual Data Mining (VDM) using P2P infrastructure can be more beneficial to improve both performance and quality of the selected data. This paper aims at describing a prototype of our framework Visual Data Mining Distributed (VDMD) based on VDM algorithms in a P2P architecture.

Pages: 1 to 4

Copyright: Copyright (c) IARIA, 2015

Publication date: February 22, 2015

Published in: conference

ISSN: 2308-3956

ISBN: 978-1-61208-381-0

Location: Lisbon, Portugal

Dates: from February 22, 2015 to February 27, 2015