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KDD
2005
ACM
142views Data Mining» more  KDD 2005»
16 years 7 months ago
Towards exploratory test instance specific algorithms for high dimensional classification
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
Charu C. Aggarwal
KDD
2004
ACM
142views Data Mining» more  KDD 2004»
16 years 7 months ago
Meta-classification of Multi-type Cancer Gene Expression Data
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
Benny Y. M. Fung, Vincent T. Y. Ng
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 7 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
16 years 7 months ago
On effective classification of strings with wavelets
In recent years, the technological advances in mapping genes have made it increasingly easy to store and use a wide variety of biological data. Such data are usually in the form o...
Charu C. Aggarwal
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
16 years 1 months ago
Finding Associations and Computing Similarity via Biased Pair Sampling
Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...
Andrea Campagna, Rasmus Pagh