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» Massive Data Pre-Processing with a Cluster Based Approach
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JLBS
2008
82views more  JLBS 2008»
15 years 4 months ago
Leveraging explicitly disclosed location information to understand tourist dynamics: a case study
In recent years, the large deployment of mobile devices has led to a massive increase in the volume of records of where people have been and when they were there. The analysis of t...
Fabien Girardin, Filippo Dal Fiore, Carlo Ratti, J...
ICPR
2006
IEEE
16 years 5 months ago
Scalable Representative Instance Selection and Ranking
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Xindong Wu, Xingquan Zhu
CIDM
2007
IEEE
15 years 10 months ago
Mining Subspace Correlations
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
Rave Harpaz, Robert M. Haralick
IADIS
2008
15 years 5 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 6 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung