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KDD
2009
ACM
14 years 10 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
KDD
2006
ACM
14 years 10 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 10 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...