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118
Voted
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 26 days ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
111
Voted
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 26 days ago
Deriving quantitative models for correlation clusters
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...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
16 years 26 days ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 26 days ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
96
Voted
CHI
2007
ACM
16 years 26 days ago
An eye tracking study of the effect of target rank on web search
Web search engines present search results in a rank ordered list. This works when what a user wants is near the top, but sometimes the information that the user really wants is lo...
Zhiwei Guan, Edward Cutrell