A Distributed Clustering Approach for Heterogeneous Environments Using Fuzzy Rough Set Theory

Journal of College Teaching & Learning (TLC)

View Publication Info
 
 
Field Value
 
Title A Distributed Clustering Approach for Heterogeneous Environments Using Fuzzy Rough Set Theory
 
Creator Mozafari, Niloofar
Nikouei Mahani, Mohammad-Ali
Hashemi, Sattar
 
Subject Distributed Clustering; Fuzzy Rough Set Theory; Data Distributed Mining
Distributed Clustering; Fuzzy Rough Set Theory; Data Distributed Mining
 
Description Vast majority of data mining algorithms have been designed to work on centralized data, unfortunately however, almost all of nowadays data sets are distributed both geographically and conceptually. Due to privacy and computation cost, centralizing distributed data sets before analyzing them is undoubtedly impractical. In this paper, we present a framework for clustering distributed data which takes into account privacy and computation cost. To do that, we remove uncertain instances and just send the label of the other instances to the central location. To remove the uncertain instances, we develop a new instance weighting method based on fuzzy and rough set theory. The achieved results on well-known data verify effectiveness of the proposed method compared to previous works.
 
Publisher Regional Information Center for Science & Technology
 
Contributor
 
Date 2020-08-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://ijism.ricest.ac.ir/index.php/ijism/article/view/1807
 
Source International Journal of Information Science and Management (IJISM); Vol 18, No 2 (2020); 215-228
2008-8310
2008-8302
 
Language eng
 
Relation https://ijism.ricest.ac.ir/index.php/ijism/article/view/1807/406
 
Rights Copyright (c) 2020 International Journal of Information Science and Management (IJISM)
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library