2326 search results - page 86 / 466 » Discovering significant patterns |
147
Voted
KDD
2008
ACM
16 years 4 months ago
2008
ACM
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
143
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IDA
2007
Springer
15 years 4 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
160
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EWMF
2003
Springer
15 years 9 months ago
2003
Springer
Abstract With the ongoing shift from off-line to on-line business processes, the Web has become an important business platform, and for most companies it is crucial to have an on-...
176
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DATAMINE
1999
15 years 4 months ago
1999
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
227
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ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...