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JCIT
2010
174views more  JCIT 2010»
15 years 15 days ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
16 years 6 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
EDM
2009
108views Data Mining» more  EDM 2009»
15 years 3 months ago
Student Consistency and Implications for Feedback in Online Assessment Systems
Abstract. Most of the emphasis on mining online assessment logs has been to identify contentspecific errors. However, the pattern of general "consistency" is domain indep...
Tara M. Madhyastha, Steven L. Tanimoto
KDD
1995
ACM
216views Data Mining» more  KDD 1995»
15 years 9 months ago
Robust Decision Trees: Removing Outliers from Databases
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
George H. John
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
15 years 9 months ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool