Data mining for hypertext (tutorial session) (title only)

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Data mining for hypertext (tutorial session) (title only)

Source

International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

Boston, Massachusetts, United States

Page: 533

Year of Publication: 2000

ISBN:1-58113-233-6

Author

Soumen Chakrabarti

Sponsors

SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 1

Additional Information:

cited by collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/347090.347526 What is a DOI?

CITED BY

Jidong Wang , Huajun Zeng , Zheng Chen , Hongjun Lu , Li Tao , Wei-Ying Ma, ReCoM: reinforcement clustering of multi-type interrelated data objects, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, July 28-August 01, 2003, Toronto, Canada

Collaborative Colleagues:

Soumen Chakrabarti: colleagues

Adobe Acrobat

QuickTime

Windows Media Player

Real Player