33 search results - page 2 / 7 » DISC: Data-Intensive Similarity Measure for Categorical Data |
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
AMAI
2011
Springer
12 years 4 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...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
ICDE
1999
IEEE
14 years 6 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
VLDB
1998
ACM
13 years 8 months ago
1998
ACM
Wedescribea novel approachfor clustering collectionsof sets,andits applicationto theanalysis and mining of categoricaldata. By "categorical data," we meantableswith fiel...