1836 search results - page 150 / 368 » Mining Clustering Dimensions |
116
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ISMIS
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
107
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APCHI
2004
IEEE
15 years 5 months ago
2004
IEEE
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
100
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
107
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PKDD
1999
Springer
15 years 6 months ago
1999
Springer
: 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...
134
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...