42 search results - page 3 / 9 » Discovery of Quantitative Sequential Patterns from Event Seq... |
KDD
1998
ACM
13 years 9 months ago
1998
ACM
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Music consists of both local and long-term temporal information. However, for a genre classification task, most of the text categorization based approaches only capture local temp...
ADBIS
1999
Springer
13 years 9 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...
DAWAK
2008
Springer
13 years 7 months ago
2008
Springer
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...