MainComputersInternetSearching › Enhanced Word Clustering for Hierarchical Text Classification

Enhanced Word Clustering for Hierarchical Text Classification

Edit Page
Report
Scan day: 02 March 2014 UTC
0
Virus safety - good
Description: By Inderjit S. Dhillon, Subramanyam Mallela and Rahul Kumar, University of Texas, Austin, USA. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 2002. The authors propose a new information-theoretic divisive algorithm for word clustering applied to text classification. Experimental results are based on a 20 Newsgroups data set and a 3-level hierarchy of HTML documents collected from ODP´s Science toplevel. [PDF]
Size: 0 chars

Contact Information

Email:
Phone&Fax:
Address:
Extended:

WEBSITE Info

Page title:
Keywords:
Description:
IP-address:128.83.120.139

WHOIS Info

NS
Name Servers: CHISOS.OTS.UTEXAS.EDU 128.83.185.39 GLASS.ITS.UTEXAS.EDU 129.116.136.5
WHOIS
Date
activated: 13-Aug-1985
last updated: 15-Aug-2012
expires: 31-Jul-2014