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KDD
2006
ACM
14 years 9 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...