115 search results - page 3 / 23 » Summarising Data by Clustering Items |
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
ICDE
2003
IEEE
14 years 8 months ago
2003
IEEE
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...