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» Selective association rule generation
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DAWAK
2010
Springer
15 years 5 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar
IVA
2009
Springer
15 years 11 months ago
Augmenting Gesture Animation with Motion Capture Data to Provide Full-Body Engagement
Abstract. Effective speakers engage their whole body when they gesture. It is difficult, however, to create such full body motion in animated agents while still supporting a large...
Pengcheng Luo, Michael Kipp, Michael Neff
DEBU
2008
165views more  DEBU 2008»
15 years 4 months ago
A Survey of Attack-Resistant Collaborative Filtering Algorithms
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Bhaskar Mehta, Thomas Hofmann
TCS
2010
15 years 2 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
ASC
2011
14 years 11 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa