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WWW
2004
ACM
16 years 7 months ago
Specifying Semantic Email Processes
Prior work has shown that semantic email processes (SEPs) can be an effective tool for automating emailmediated tasks that are currently performed manually in a tedious, time-cons...
Luke McDowell, Oren Etzioni, Alon Y. Halevy
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
16 years 7 months ago
Information extraction from Wikipedia: moving down the long tail
Not only is Wikipedia a comprehensive source of quality information, it has several kinds of internal structure (e.g., relational summaries known as infoboxes), which enable self-...
Fei Wu, Raphael Hoffmann, Daniel S. Weld
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 7 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
16 years 7 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...