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PKDD
2005
Springer
14 years 1 months ago
2005
Springer
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
KDD
2001
ACM
14 years 8 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
BMCBI
2005
13 years 7 months ago
2005
Background: The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-prot...