111 search results - page 3 / 23 » A Bi-clustering Framework for Categorical Data |
105
click to vote
EDBT
2004
ACM
15 years 11 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
CORR
2004
Springer
14 years 11 months ago
2004
Springer
Understanding the structure of knowledge communities, and particularly the organization of "epistemic communities", or groups of agents sharing common knowledge concerns...
119
click to vote
IDA
2006
Springer
14 years 11 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
ISI
2008
Springer
14 years 11 months ago
2008
Springer
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
BMCBI
2007
14 years 11 months ago
2007
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...