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» Phenomenal Data Mining: From Data to Phenomena
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111
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ICDM
2005
IEEE
125views Data Mining» more  ICDM 2005»
15 years 7 months ago
A Thorough Experimental Study of Datasets for Frequent Itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to...
Frédéric Flouvat, Fabien De Marchi, ...
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 6 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
151
Voted
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 3 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
102
Voted
LREC
2010
150views Education» more  LREC 2010»
15 years 3 months ago
Detection of Peculiar Examples using LOF and One Class SVM
This paper proposes the method to detect peculiar examples of the target word from a corpus. The peculiar example is regarded as an outlier in the given example set. Therefore we ...
Hiroyuki Shinnou, Minoru Sasaki
129
Voted
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
15 years 3 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan