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


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
Number of pages14
StatePublished - 1 Jan 2020

Publication series

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


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