7150 search results - page 1012 / 1430 » Graph-Based Data Mining |
135
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
152
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
148
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KDD
2006
ACM
16 years 5 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...
146
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KDD
2006
ACM
16 years 5 months ago
2006
ACM
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
149
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KDD
2004
ACM
16 years 5 months ago
2004
ACM
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...