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Review on Ant Miners: Algorithms for Classification Rules Extraction using Ant Colony Approach

by Safeya Rajpiplawala, Dheeraj Kumar Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 12
Year of Publication: 2014
Authors: Safeya Rajpiplawala, Dheeraj Kumar Singh
10.5120/15040-3386

Safeya Rajpiplawala, Dheeraj Kumar Singh . Review on Ant Miners: Algorithms for Classification Rules Extraction using Ant Colony Approach. International Journal of Computer Applications. 86, 12 ( January 2014), 34-38. DOI=10.5120/15040-3386

@article{ 10.5120/15040-3386,
author = { Safeya Rajpiplawala, Dheeraj Kumar Singh },
title = { Review on Ant Miners: Algorithms for Classification Rules Extraction using Ant Colony Approach },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 12 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number12/15040-3386/ },
doi = { 10.5120/15040-3386 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:05.199961+05:30
%A Safeya Rajpiplawala
%A Dheeraj Kumar Singh
%T Review on Ant Miners: Algorithms for Classification Rules Extraction using Ant Colony Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 12
%P 34-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mining classification rules from data is a key mission of data mining and is getting great attention in recent years. This paper presents a study of various Ant-miner algorithms for classification Rule extraction and their relative study by reflecting their advantages individually. Ant Colony based algorithms have been successfully implemented in different fields such as remote sensing problems, combinatorial problems, scheduling problems and the quadratic assignment problems. No single algorithm is efficient enough to crack problems from different fields. Hence, in this study some algorithms are presented which can be used according to one's requirement. Modification and extension done to the ant colony based Ant-miner algorithm is discussed here.

References
  1. Dorigo Dorigo M. ,& Caro,G. D(1999). Ant Algorithm for Optimatisation ,Artificial Life,5(3),137
  2. Bonabeau, E. , Dorigo,M. ,& Thera ulaz, G. (1999). Swarm Intelligence: From Natural to Artifical System. New York: Oxford University Press.
  3. Dorigo,M. ,& Maniezzo,V. (1996). The ant System: Optimization by a colony of cooperating Agents. IEEE Transactions on Systems, Man, and Cybernectics,26(1),1-13.
  4. J. Kennedy and R. Mendes , Population structure and Particle Swarm Performance. Procedeing of IEEE Congress on Evolutinary Computation (CEC 2002), Honolulu, Hawalii USA, 2002.
  5. R. S. Parnelli, H. S. Lopes and A. A. Freitas, Data Mining with an Ant Colony Optimization Algorithm, IEEE Trans. On Evolutionary Computation, special issue on Ant colony Algorithm, 6(4),pp 321-332,Aug 2002.
  6. M. Dorigo and T. Stuetzle. Ant Colony Optimization. MIT Press, 2004.
  7. Omkar. S. N. , Kumar Manoj, Mley Dipti, Urban Satellite Image Classification using Biologically Inspired Tecnique in proceedings of IEEE 2007.
  8. Bo,L. , Abbas, H. A, Kay ,B Classification Rule Discovery With an Ant Colony optimization. In: International Conference on Intelligent Agent Technology, 2003. IAT 2003. IEEE October 13- 1-2003 ,pp 83-88(2003).
  9. J. Kennedy and R. C. Eberhart, with Y. Shi,Swarm Intelligence, san Franciso: Morgan Kaufmann/Academic Press 2001.
  10. Omid Roozmand and kamran Zamanifar:; Parallel Ant Miner 2 rules In :Springer -Verlag Berlin Heide Iberg 2008,pp 681-692,2008.
  11. Fernando E. B. Otero, Alex A. Freitas, and Colin G. Technology,2003. IAT 2003. IEEE October 13- 1-2003 ,pp 83-88(2003).
  12. J. Kennedy and R. C. Eberhart, with Y. Shi,Swarm Intelligence, san Franciso: Morgan Kaufmann/Academic Press 2001.
  13. Omid Roozmand and kamran Zamanifar:; Parallel Ant Miner 2 rules In :Springer -Verlag Berlin Heide Iberg 2008,pp 681-692,2008.
  14. Fernando E. B. Otero, Alex A. Freitas, and Colin G. Johnson, cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes in Springer-Verlag Berlin, Heidelberg 2008.
  15. Chen, H. , Chen, L, li, T: Parallel Ant Colony Algorithm for mining Classification Rules. In :2006 IEEE Conference on Granular Computing, May 10-12,2006, pp85-90(2006).
  16. K . Thangavel. ,P. Jaganathan, Rule Mining with a new Ant Colony optimization Algorithm Rules In:2007 IEEE International Conference on Granular Computing ,pp 135 140(2007)1644
  17. F. Otero, A. Freitas, and C. Johnson. A new sequential covering strategy for inducing classification rules with ant colony algorithms. To appear in IEEE Transactions on Evolutionary Computation, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

ACO SI Rule Classifier Ant-Miner

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