Survey of Ant Colony Optimization with Classification Rule Discovery for Data Mining

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 2, Issue 2, No 2, 2014.

Copyright: All Rights Reserved ©2014

Year of Publication: 2014

Author: Chandra Prakash,Mohammad Rahmatullah,Dr Priyanka Tripathi

Reference:IJCS-057

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Abstract

Knowledge discovery needs effective classification rules in the area of data mining and it is a vibrant area of research in current years. In this paper we have discussed classification rules based on dissimilar sort of rule extraction algorithm. We have also discussed functioning of different mining algorithms. It is analyzed that how Ant colony optimization (ACO) algorithms are applied over combinatorial optimization problems. There are many algorithms were proposed for Ant Colony Optimization problem like remote logical problems, combinatorial problems, forecasting problems and the quadratic assignment problem. There is no single algorithm available which is efficient enough and able to deal with interrelated problems raised from different areas. Therefore in this paper we gave a brief survey in this field in order to fulfil initial need of research.

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Keywords

Ant Colony Optimization (ACO), Classification of rules, data mining, Ant Miner

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