Generalized entropy and projection clustering of categorical data

Dan A. Simovici; Dana Cristofor; Laurentiu Cristofor

doi:10.1007/3-540-45372-5_75

Generalized entropy and projection clustering of categorical data

Dan A. Simovici
, Dana Cristofor
, Laurentiu Cristofor

Computer Science

University of Massachusetts Boston

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

Original language	English
Title of host publication	Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings
Editors	Djamel A. Zighed, Jan Komorowski, Jan Zytkow
Publisher	Springer Verlag
Pages	619-625
Number of pages	7
ISBN (Print)	9783540410669
DOIs	https://doi.org/10.1007/3-540-45372-5_75
State	Published - 2000
Event	4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000 - Lyon, France Duration: Sep 13 2000 → Sep 16 2000

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1910
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000
Country/Territory	France
City	Lyon
Period	9/13/00 → 9/16/00

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45372-5_75

Cite this

Simovici, D. A., Cristofor, D., & Cristofor, L. (2000). Generalized entropy and projection clustering of categorical data. In D. A. Zighed, J. Komorowski, & J. Zytkow (Eds.), Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings (pp. 619-625). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1910). Springer Verlag. https://doi.org/10.1007/3-540-45372-5_75

Generalized entropy and projection clustering of categorical data. / Simovici, Dan A.; Cristofor, Dana; Cristofor, Laurentiu.
Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings. ed. / Djamel A. Zighed; Jan Komorowski; Jan Zytkow. Springer Verlag, 2000. p. 619-625 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1910).

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

Simovici, DA, Cristofor, D & Cristofor, L 2000, Generalized entropy and projection clustering of categorical data. in DA Zighed, J Komorowski & J Zytkow (eds), Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1910, Springer Verlag, pp. 619-625, 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, Lyon, France, 9/13/00. https://doi.org/10.1007/3-540-45372-5_75

Simovici DA, Cristofor D, Cristofor L. Generalized entropy and projection clustering of categorical data. In Zighed DA, Komorowski J, Zytkow J, editors, Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings. Springer Verlag. 2000. p. 619-625. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45372-5_75

Simovici, Dan A. ; Cristofor, Dana ; Cristofor, Laurentiu. / Generalized entropy and projection clustering of categorical data. Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings. editor / Djamel A. Zighed ; Jan Komorowski ; Jan Zytkow. Springer Verlag, 2000. pp. 619-625 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{99c06a13e3584e1698b62b33fcedb7eb,

title = "Generalized entropy and projection clustering of categorical data",

author = "Simovici, \{Dan A.\} and Dana Cristofor and Laurentiu Cristofor",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000 ; Conference date: 13-09-2000 Through 16-09-2000",

year = "2000",

doi = "10.1007/3-540-45372-5\_75",

language = "English",

isbn = "9783540410669",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "619--625",

editor = "Zighed, \{Djamel A.\} and Jan Komorowski and Jan Zytkow",

booktitle = "Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings",

}

TY - GEN

T1 - Generalized entropy and projection clustering of categorical data

AU - Simovici, Dan A.

AU - Cristofor, Dana

AU - Cristofor, Laurentiu

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2000.

PY - 2000

Y1 - 2000

UR - https://www.scopus.com/pages/publications/84974663308

UR - https://www.scopus.com/pages/publications/84974663308#tab=citedBy

U2 - 10.1007/3-540-45372-5_75

DO - 10.1007/3-540-45372-5_75

M3 - Conference contribution

AN - SCOPUS:84974663308

SN - 9783540410669

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 619

EP - 625

BT - Principles of Data Mining and Knowledge Discovery - 4th European Conference, PKDD 2000, Proceedings

A2 - Zighed, Djamel A.

A2 - Komorowski, Jan

A2 - Zytkow, Jan

PB - Springer Verlag

T2 - 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000

Y2 - 13 September 2000 through 16 September 2000

ER -

Generalized entropy and projection clustering of categorical data

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

Other files and links

Fingerprint

Cite this