1315 search results - page 49 / 263 » Discovering significant rules |
117
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ICMCS
2009
IEEE
14 years 9 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
DEXA
2008
Springer
15 years 1 months ago
2008
Springer
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
124
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ADC
2003
Springer
15 years 5 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
BMCBI
2005
14 years 11 months ago
2005
Background: The rapid publication of important research in the biomedical literature makes it increasingly difficult for researchers to keep current with significant work in their...