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183
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ICDM
2002
IEEE
16 years 7 days ago
2002
IEEE
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
239
Voted
ICDM
2010
IEEE
15 years 5 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
208
Voted
KDD
2008
ACM
16 years 7 months ago
2008
ACM
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
193
Voted
KDD
2000
ACM
15 years 11 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
219
Voted
SDM
2007
SIAM
15 years 8 months ago
2007
SIAM
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...