317 search results - page 9 / 64 » A hybrid approach to mining frequent sequential patterns |
TKDE
2011
13 years 2 months ago
2011
—Classification has been used for modeling many kinds of data sets, including sets of items, text documents, graphs, and networks. However, there is a lack of study on a new kind...
ADBIS
1999
Springer
13 years 12 months ago
1999
Springer
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...
SSD
2001
Springer
14 years 1 days ago
2001
Springer
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
IDEAS
2006
IEEE
14 years 1 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...
FQAS
2006
Springer
13 years 11 months ago
2006
Springer
We consider the problem of optimizing processing of batches of frequent itemset queries. The problem is a particular case of multiple-query optimization, where the goal is to minim...