148 search results - page 1 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
IDA
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
ICWL
2004
Springer
13 years 9 months ago
2004
Springer
In Web-based e-learning, an up-to-date catalogue of subject-specific Web resources can effectively offer inexperienced students with an advanced academic portal on the Web. To auto...
SSDBM
2005
IEEE
13 years 10 months ago
2005
IEEE
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
EDBT
2004
ACM
14 years 4 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, ...
SDM
2007
SIAM
13 years 5 months ago
2007
SIAM
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...