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KDD
1997
ACM
78views Data Mining» more  KDD 1997»
15 years 10 months ago
Mining Generalized Term Associations: Count Propagation Algorithm
We presenthere an approachand algorithm for mining generalizedterm associations.The problem is to find co-occurrencefrequenciesof terms, given a collection of documents eachwith r...
Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLe...
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
15 years 7 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 11 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
TDP
2008
96views more  TDP 2008»
15 years 6 months ago
Constrained Microaggregation: Adding Constraints for Data Editing
Privacy preserving data mining and statistical disclosure control have introduced several methods for data perturbation that can be used for ensuring the privacy of data respondent...
Vicenç Torra
SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
16 years 3 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet