302 search results - page 30 / 61 » Efficient frequent pattern mining over data streams |
89
Voted
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
DASFAA
2008
IEEE
14 years 10 months ago
2008
IEEE
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
95
Voted
DMIN
2006
14 years 11 months ago
2006
Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries ...
IS
2007
14 years 9 months ago
2007
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...