74 search results - page 5 / 15 » Association Rules Discovery in Multivariate Time Series |
AUSAI
2001
Springer
13 years 11 months ago
2001
Springer
The Apriori algorithm's frequent itemset approach has become the standard approach to discovering association rules. However, the computation requirements of the frequent item...
ENC
2004
IEEE
13 years 11 months ago
2004
IEEE
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
ICWE
2010
Springer
13 years 6 months ago
2010
Springer
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...