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

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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

  • 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
  • Page No 328-335

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