Abstract
A method of association rule mining using Genetic Network Programming with sophisticated rule acquisition mechanisms is proposed to improve the performance of rule extraction. The system evolves itself by an evolutionary method and measures the significance of the association via the chi-squared test. Extracted rules are stored in a pool through generations and reflected in genetic operators as acquired information.
| Original language | English |
|---|---|
| Pages | 13-19 |
| Number of pages | 7 |
| Publication status | Published - 2005 Dec 1 |
| Event | SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10 |
Conference
| Conference | SICE Annual Conference 2005 |
|---|---|
| Country/Territory | Japan |
| City | Okayama |
| Period | 05/8/8 → 05/8/10 |
Keywords
- Association Rules
- Data Mining
- Evolutionary Computation
- Genetic Network Programming
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering