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KDD
2005
ACM
124views Data Mining» more  KDD 2005»
15 years 10 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
ICIG
2009
IEEE
15 years 4 months ago
Discriminative Maximum Margin Image Object Categorization with Exact Inference
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurman...
SEKE
2004
Springer
15 years 3 months ago
Automatic bug triage using text categorization
Bug triage, deciding what to do with an incoming bug report, is taking up increasing amount of developer resources in large open-source projects. In this paper, we propose to appl...
Davor Cubranic, Gail C. Murphy
SIGIR
1999
ACM
15 years 2 months ago
A Re-Examination of Text Categorization Methods
This paper reports a controlled study with statistical signi cance tests on ve text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classi er...
Yiming Yang, Xin Liu
IJCAI
2003
14 years 11 months ago
Categorizing classes of signals by means of fuzzy gradual rules
This paper presents an approach to the approximate description of univariate real-valued functions in terms of precise or imprecise reference points and interpolation between thes...
Sylvie Galichet, Didier Dubois, Henri Prade