100 search results - page 6 / 20 » Stochastic processes and temporal data mining |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
DAWAK
1999
Springer
13 years 11 months ago
1999
Springer
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
ICTAI
2002
IEEE
14 years 8 days ago
2002
IEEE
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...