Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9561
Title: PSO driven collaborative clustering: a clustering algorithm for ubiquitous environments
Authors: DEPAIRE, Benoit 
Falcon Martinez, R.
VANHOOF, Koen 
WETS, Geert 
Issue Date: 2008
Source: First Ubiquitous Knowledge Discovery Workshop (UKD2008), Antwerp (Belgium), 19 September 2008.
Abstract: The goal of this article is to introduce two existing clustering approaches into the domain of ubiquitous knowledge discovery. First we demonstrate how horizontal collaborative clustering can be performed in a ubiquitous environment and discuss the ability of these two clustering techniques to cope with privacy constraints. Next, we illustrate how a particle swarm optimization driven version of this clustering algorithm can be used in KDUbiq research and we introduce a ¯tness functions whose objective is to ¯nd similar cluster composition across data locations. Finally, we run an experiment which shows the potential of PSO driven collaborative clustering in a ubiquitous environment with privacy issues
Keywords: Ubiquitous Knowledge Discovery, Resource-Awareness, Privacy Restrictions, Horizontal Collaborative Clustering, Particle Swarm Optimization
Document URI: http://hdl.handle.net/1942/9561
Link to publication: http://www.ecmlpkdd2008.org/files/pdf/workshops/ubiqkd/2.pdf
Category: C2
Type: Conference Material
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
2.pdfFinal version156.41 kBAdobe PDFView/Open
Show full item record

Page view(s)

40
checked on May 23, 2022

Download(s)

86
checked on May 23, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.