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KDD
2005
ACM
14 years 9 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In recent years, various constrained frequent pattern mining problem formulations and associated algorithms have been developed that enable the user to specify various itemsetbase...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...