Three-mode fuzzy Co-clustering and collaborative framework

Tin-Chih Chen; Katsuhiro Honda

doi:10.1007/978-3-030-22574-2_6

Three-mode fuzzy Co-clustering and collaborative framework

Tin-Chih Chen^*, Katsuhiro Honda

^*Corresponding author for this work

Department of Industrial Engineering and Management

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Collaborative utilization of multiple cooccurrence information is expected a powerful tool for knowledge discovery in many real applications. This chapter presents a brief review on three-mode fuzzy co-clustering, which reveals the intrinsic co-cluster structures from three-mode cooccurrence information. Additionally, a secure process of collaborative analysis among different organizations is also considered with illustrative examples.

Original language	English
Title of host publication	SpringerBriefs in Applied Sciences and Technology
Publisher	Springer Verlag
Pages	73-88
Number of pages	16
DOIs	https://doi.org/10.1007/978-3-030-22574-2_6
State	Published - 1 Jan 2020

Publication series

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

Access to Document

10.1007/978-3-030-22574-2_6

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Three-mode fuzzy Co-clustering and collaborative framework'. Together they form a unique fingerprint.

Cite this

Chen, T-C., & Honda, K. (2020). Three-mode fuzzy Co-clustering and collaborative framework. In SpringerBriefs in Applied Sciences and Technology (pp. 73-88). (SpringerBriefs in Applied Sciences and Technology). Springer Verlag. https://doi.org/10.1007/978-3-030-22574-2_6

@inbook{cedfe86b2343445382673896bbbcbbbd,

title = "Three-mode fuzzy Co-clustering and collaborative framework",

abstract = "Collaborative utilization of multiple cooccurrence information is expected a powerful tool for knowledge discovery in many real applications. This chapter presents a brief review on three-mode fuzzy co-clustering, which reveals the intrinsic co-cluster structures from three-mode cooccurrence information. Additionally, a secure process of collaborative analysis among different organizations is also considered with illustrative examples.",

author = "Tin-Chih Chen and Katsuhiro Honda",

year = "2020",

month = jan,

day = "1",

doi = "10.1007/978-3-030-22574-2_6",

language = "English",

series = "SpringerBriefs in Applied Sciences and Technology",

publisher = "Springer Verlag",

pages = "73--88",

booktitle = "SpringerBriefs in Applied Sciences and Technology",

}

TY - CHAP

T1 - Three-mode fuzzy Co-clustering and collaborative framework

AU - Chen, Tin-Chih

AU - Honda, Katsuhiro

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Collaborative utilization of multiple cooccurrence information is expected a powerful tool for knowledge discovery in many real applications. This chapter presents a brief review on three-mode fuzzy co-clustering, which reveals the intrinsic co-cluster structures from three-mode cooccurrence information. Additionally, a secure process of collaborative analysis among different organizations is also considered with illustrative examples.

AB - Collaborative utilization of multiple cooccurrence information is expected a powerful tool for knowledge discovery in many real applications. This chapter presents a brief review on three-mode fuzzy co-clustering, which reveals the intrinsic co-cluster structures from three-mode cooccurrence information. Additionally, a secure process of collaborative analysis among different organizations is also considered with illustrative examples.

UR - http://www.scopus.com/inward/record.url?scp=85067626882&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-22574-2_6

DO - 10.1007/978-3-030-22574-2_6

M3 - Chapter

AN - SCOPUS:85067626882

T3 - SpringerBriefs in Applied Sciences and Technology

SP - 73

EP - 88

BT - SpringerBriefs in Applied Sciences and Technology

PB - Springer Verlag

ER -