234 search results - page 9 / 47 » Mining Multiple Data Sources: Local Pattern Analysis |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
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BPM
2009
Springer
15 years 4 months ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
KDD
2007
ACM
15 years 9 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
IWPC
2010
IEEE
14 years 7 months ago
2010
IEEE
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
KDD
2005
ACM
15 years 9 months ago
2005
ACM
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...