125 search results - page 8 / 25 » Sampling for Sequential Pattern Mining: From Static Database... |
VLDB
2005
ACM
14 years 29 days ago
2005
ACM
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...