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ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
14 years 1 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
14 years 22 days ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
PKDD
1999
Springer
109views Data Mining» more  PKDD 1999»
14 years 22 days ago
Predicting Chemical Carcinogenesis Using Structural Information Only
This paper reports on the application of the Strongly Typed Evolutionary Programming System STEPS to the PTE2 challenge, which consists of predicting the carcinogenic activity of...
Claire J. Kennedy, Christophe G. Giraud-Carrier, D...
KDD
1998
ACM
200views Data Mining» more  KDD 1998»
14 years 21 days ago
Fast Computation of 2-Dimensional Depth Contours
"Oneperson's noise is another person's signal." For manyapplications, including the detection of credit card frauds and the monitoringof criminal activities in...
Theodore Johnson, Ivy Kwok, Raymond T. Ng
ECML
2007
Springer
14 years 12 days ago
Finding Composite Episodes
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
Ronnie Bathoorn, Arno Siebes