258 search results - page 33 / 52 » Mining Patterns in Long Sequential Data with Noise |
EDM
2010
13 years 9 months ago
2010
Learning management systems capture student's interactions with the course contents in the form of event logs, including the order in which resources are accessed. We build on...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
ICDE
2009
IEEE
13 years 5 months ago
2009
IEEE
There is a huge wealth of sequence data available, for example, customer purchase histories, program execution traces, DNA, and protein sequences. Analyzing this wealth of data to ...
GFKL
2005
Springer
14 years 1 months ago
2005
Springer
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...