ACSC
2002
IEEE
13 years 9 months ago
2002
IEEE
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
DAWAK
2005
Springer
13 years 10 months ago
2005
Springer
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
DOLAP
2006
ACM
13 years 10 months ago
2006
ACM
Mining data warehouses is still an open problem as few approaches really take the specificities of this framework into account (e.g. multidimensionality, hierarchies, historized ...
IDEAS
2006
IEEE
13 years 10 months ago
2006
IEEE
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
CIDM
2007
IEEE
13 years 10 months ago
2007
IEEE
— This paper introduces a novel method, GAIS, for detecting interleaved sequential patterns from databases. A case, where data is of low quality and has errors is considered. Pat...
ICDE
1995
IEEE
14 years 5 months ago
1995
IEEE
Abstract. The problem of mining sequential patterns was recently introduced in 3 . We are given a database of sequences, where each sequence is a list of transactions ordered by tr...