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» A sequential pattern mining algorithm using rough set theory
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CIKM
2009
Springer
13 years 12 months ago
Compressing tags to find interesting media groups
On photo sharing websites like Flickr and Zooomr, users are offered the possibility to assign tags to their uploaded pictures. Using these tags to find interesting groups of sem...
Matthijs van Leeuwen, Francesco Bonchi, Börku...
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 5 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
PC
2006
103views Management» more  PC 2006»
13 years 5 months ago
Parallel skeletons for manipulating general trees
Trees are important datatypes that are often used in representing structured data such as XML. Though trees are widely used in sequential programming, it is hard to write efficien...
Kiminori Matsuzaki, Zhenjiang Hu, Masato Takeichi
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
11 years 7 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 5 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...