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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 2 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 2 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
105
Voted
KDD
2002
ACM
175views Data Mining» more  KDD 2002»
16 years 2 months ago
Mining product reputations on the Web
Knowing the reputations of your own and/or competitors' products is important for marketing and customer relationship management. It is, however, very costly to collect and a...
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi,...
126
Voted
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 2 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
125
Voted
CHI
2008
ACM
16 years 2 months ago
The LilyPad Arduino: using computational textiles to investigate engagement, aesthetics, and diversity in computer science educa
The advent of novel materials (such as conductive fibers) combined with accessible embedded computing platforms have made it possible to re-imagine the landscapes of fabric and el...
Leah Buechley, Michael Eisenberg, Jaime Catchen, A...
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