KDID
2004
13 years 5 months ago
2004
The main drawbacks of sequential pattern mining have been its lack of focus on user expectations and the high number of discovered patterns. However, the solution commonly accepted...
SBBD
2007
13 years 5 months ago
2007
Abstract. A lot of recent applications dealing with complex data require sophisticated data structures (trees or graphs) for their specification. Recently, several techniques for ...
IEAAIE
2004
Springer
13 years 9 months ago
2004
Springer
Facilitated by the achievements of various data mining techniques, both academic research and industrial applications are using data mining tools to explore knowledge from various ...
EUROCAST
2005
Springer
13 years 10 months ago
2005
Springer
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
AISADM
2005
Springer
13 years 10 months ago
2005
Springer
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...