189 search results - page 13 / 38 » Multi-Dimensional Sequential Pattern Mining |
EUROPAR
2001
Springer
15 years 2 months ago
2001
Springer
Discovery of sequential patterns is becoming increasingly useful and essential in many scienti c and commercial domains. Enormous sizes of available datasets and possibly large nu...
KDD
1998
ACM
15 years 2 months ago
1998
ACM
Database integration of mining is becoming increasingly important with tile installation of larger and larger data warehouses built around relational database technology. Most of ...
ICDM
2007
IEEE
15 years 2 months ago
2007
IEEE
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
KDD
2005
ACM
15 years 10 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...
KDD
2002
ACM
15 years 10 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...