141 search results - page 20 / 29 » Hierarchical Document Clustering using Frequent Itemsets |
SIGIR
2002
ACM
13 years 7 months ago
2002
ACM
mes, abstracts and year of publication of all 853 papers published.1 We then applied Porter stemming and stopword removal to this text, represented terms from the elds with twice t...
KDD
2007
ACM
14 years 1 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
This paper addresses the problem of making text mining results more comprehensible to humanities scholars, journalists, intelligence analysts, and other researchers, in order to s...
SIGIR
1999
ACM
13 years 11 months ago
1999
ACM
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...