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KDD
2002
ACM
138views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
KDD
2000
ACM
117views Data Mining» more  KDD 2000»
13 years 11 months ago
Visualization of navigation patterns on a Web site using model-based clustering
Igor V. Cadez, David Heckerman, Christopher Meek, ...
AI
2005
Springer
13 years 9 months ago
Integrating Web Content Clustering into Web Log Association Rule Mining
Abstract. One of the effects of the general Internet growth is an immense number of user accesses to WWW resources. These accesses are recorded in the web server log files, which...
Jiayun Guo, Vlado Keselj, Qigang Gao
SIGIR
2003
ACM
14 years 27 days ago
ReCoM: reinforcement clustering of multi-type interrelated data objects
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
Jidong Wang, Hua-Jun Zeng, Zheng Chen, Hongjun Lu,...
JIB
2008
76views more  JIB 2008»
13 years 7 months ago
WebStruct and VisualStruct: web interfaces and visualization for Structure software implemented in a cluster environment
Structure, is a widely used software tool to investigate population genetic structure with multi-locus genotyping data. The software uses an iterative algorithm to group individua...
B. Jayashree, S. Rajgopal, David A. Hoisington, V....