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Artificial Bee Colony Based Decision Tree Technique for Super Marketing

Author(s):

Er. Manpreet Kaur , Guru Nanak Dev University, Regional Campus, Jalandhar; Er. Neena Madan, Guru Nanak Dev University, Regional Campus, Jalandhar

Keywords:

Data Mining, EDUDS, EDUSC, ABC, working and methodology

Abstract

Data mining is a significant part of knowledge discovery process that could analyze a huge set of knowledge and get concealed and helpful knowledge. Numerous methods of Knowledge Mining have now been useful for classification of the scientific program. The segmentation of the scientific applications will undoubtedly be considered as a classification issue and examined using different state-of-the artwork methods i.e. J48, Artificial Bee Colony (ABC) and Decision tree mining algorithms. The objective of this paper is to proposed Hybrid approach which is an integration of two techniques i.e. an artificial bee colony based J48 classification technique that provides better and accurate results in the classification of super-marketing. ABC is used to search the best solution with two best values named local best and global best by using iteration with initial velocity and positions. The experimental results brings about the proposed technique that clearly shown the fact that proposed technique outperforms over the existing methods.

Other Details

Paper ID: IJSRDV5I50347
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 668-673

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