4 search results - page 1 / 1 » Conceptual Clustering Categorical Data with Uncertainty |
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
ESWA
2008
13 years 5 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
AMAI
2011
Springer
12 years 5 months ago
2011
Springer
Formal concept analysis (FCA) has been applied successively in diverse fields such as data mining, conceptual modeling, social networks, software engineering, and the semantic we...