302 search results - page 21 / 61 » Efficient frequent pattern mining over data streams |
78
Voted
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
96
Voted
CORR
2010
Springer
14 years 9 months ago
2010
Springer
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
100
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
SIGKDD
2008
14 years 9 months ago
2008
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
95
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...