109 search results - page 9 / 22 » Generalized Sequential Pattern Mining with Item Intervals |
CIKM
2004
Springer
14 years 27 days ago
2004
Springer
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
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...
PPOPP
2005
ACM
14 years 1 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...