Evolving associative classifier for incomplete database using genetic network programming
Abstract
References
Index Terms
- Evolving associative classifier for incomplete database using genetic network programming
Recommendations
An evolving associative classifier for incomplete database
ICDM'12: Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspectsAn associative classification method for incomplete database is proposed based on an evolutionary rule extraction method. The method can extract class association rules directly from the database including missing values and build an associative ...
Ranking association rules for classification based on genetic network programming
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computationIn this paper, we propose a Genetic Network Programming (GNP) based ranking method to improve the accuracy of Classification Based on Association Rule(CBA). We start from an empirical phenomenon, that is, the accuracy could be improved by changing the ...
A method of association rule analysis for incomplete database using genetic network programming
GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computationA method of association rule mining from incomplete databases is proposed using Genetic Network Programming (GNP). GNP is one of the evolutionary optimization techniques, which uses the directed graph structure. An incomplete database includes missing ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Poster
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 72Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)2
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in