Collaborative framework for fuzzy Co-clustering

Tin-Chih Chen*, Katsuhiro Honda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Privacy preserving data mining is a fundamental approach for utilizing multiple databases including personal or sensitive information without fear of information leaks. In this chapter, a framework of securely applying fuzzy co-clustering to multiple cooccurrence information, which is stored in multiple organizations, is reviewed with illustrative examples.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Verlag
Pages59-72
Number of pages14
DOIs
StatePublished - 1 Jan 2020

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

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