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IJCNN
2006
IEEE
15 years 10 months ago
Prototype based outlier detection
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
Seungtaek Kim, Sungzoon Cho
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
15 years 10 months ago
Supervised Ordering - An Empirical Survey
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results or bestseller lists. In spite of their importance, methods of p...
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho
PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni
MSR
2010
ACM
15 years 9 months ago
Predicting the severity of a reported bug
—The severity of a reported bug is a critical factor in deciding how soon it needs to be fixed. Unfortunately, while clear guidelines exist on how to assign the severity of a bu...
Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart...
ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
15 years 9 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...