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168
Voted
ADMA
2006
Springer
15 years 10 months ago
2006
Springer
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...
152
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ICDM
2005
IEEE
15 years 10 months ago
2005
IEEE
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
138
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ICDM
2003
IEEE
15 years 10 months ago
2003
IEEE
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
121
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KDD
1997
ACM
15 years 8 months ago
1997
ACM
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
162
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PAKDD
2000
ACM
15 years 8 months ago
2000
ACM
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...