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» A framework for mining interesting pattern sets
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CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 8 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
KDD
2002
ACM
152views Data Mining» more  KDD 2002»
14 years 9 months ago
Multimedia Data Mining Framework For Raw Video Sequences
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
Jung-Hwan Oh, Babitha Bandi
CIKM
2009
Springer
14 years 3 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
2006
ACM
123views Data Mining» more  KDD 2006»
14 years 9 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 9 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...