7891 search results - page 1518 / 1579 » A Distributed Scheduling Framework |
136
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KDD
2007
ACM
16 years 1 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
132
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KDD
2007
ACM
16 years 1 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
133
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KDD
2006
ACM
16 years 1 months ago
2006
ACM
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
128
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KDD
2005
ACM
16 years 1 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
114
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KDD
2004
ACM
16 years 1 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...