113 search results - page 5 / 23 » Efficient Discovery of Frequent Approximate Sequential Patte... |
ADBIS
1999
Springer
13 years 11 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...
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
JIPS
2010
13 years 2 months ago
2010
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
ICDE
2004
IEEE
14 years 9 months ago
2004
IEEE
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...