Optimizing classification techniques using genetic programming approach

Saraee, MH; Sadjady, R

Abstract

Genetic Programming (GP) is a branch of Genetic
Algorithms (GA) that searches for the best operation or
computer program in search space of operations. At the same
time classification is a data mining technique used to build model of data classes which can be used to predict future trends. In this paper GP has been employed for the implementation of the classification technique. GP properties can facilitate generating new and optimized classification rules that are not discovered bythe existing traditional classification techniques. In addition we will show that GA approach is superior to traditional methods in regard to performance both on time and space requirements for processing.

Citation

Saraee, M., & Sadjady, R. (2008, December). Optimizing classification techniques using genetic programming approach. Presented at 12th IEEE International Multitopic Conference, Conquering the Horizons of Future Technology (IEEE INMIC 2008), Karachi, Pakistan

• Presentation Conference Type: Other
• Conference Name: 12th IEEE International Multitopic Conference, Conquering the Horizons of Future Technology (IEEE INMIC 2008)
• Conference Location: Karachi, Pakistan
• Start Date: Dec 23, 2008
• End Date: Dec 24, 2008
• Publication Date: Jan 1, 2008
• Deposit Date: Oct 27, 2011
• Book Title: 2008 IEEE International Multitopic Conference
• DOI: https://doi.org/10.1109/INMIC.2008.4777761
• Publisher URL: http://dx.doi.org/10.1109/INMIC.2008.4777761
• Related Public URLs: http://ieeexplore.ieee.org/search/freesearchresult.jsp?newsearch=true&queryText=saraee&x=0&y=0&filter=
• Additional Information: Event Type : Conference