680 search results - page 107 / 136 » Mining Frequent Itemsets Using Genetic Algorithm |
IWANN
2009
Springer
15 years 4 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
67
Voted
TSE
2008
14 years 9 months ago
2008
Neglected conditions are an important but difficult-to-find class of software defects. This paper presents a novel approach for revealing neglected conditions that integrates stati...
CIDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
ICTAI
2006
IEEE
15 years 3 months ago
2006
IEEE
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
88
Voted
ICTAI
2007
IEEE
15 years 4 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...