REVIEW OF NATURE INSPIRED ALGORITHMS WITH DATA MINING

Authors

  • Neha Kathuria Sunita Beniwal Guru Jambeshwar University Of Science and Technology, Hisar, Haryana

Keywords:

Abstract

The presence of large amount of data and need for turning such a huge data into knowledge has made data mining an important field of research. The huge amounts of data growing at a fast rate, makes it impossible for humans to analyse and extract knowledge from such data.For solving real-world optimization problems, optimization tools are required. Many Nature Inspired Algorithms namely Swarm Optimization, Firefly Algorithm, and Cuckoo search etc. have been used for mining. This paper presents a survey of some nature inspired algorithm which have been used for mining.

References

Jiawei Han, Micheline Kamber, and Jian Pei, Data Mining concepts and techniques, 2nd edition, Morgan Kaufmann, 2009.

S. Beniwal and J. Arora, “Classification and feature selection techniques in data mining,” In International Journal of Engineering Research & Technology, vol. 1, no. 6, pp. 1-6cc, 2012.

P. Agarwal and S. Mehta, “Nature-Inspired Algorithms: State-of-Art, Problems and Prospects”, International Journal of Computer Applications (0975 – 8887), Volume 100 – No.14, August 2014.

IztokFister Jr., Xin-She Yang, IztokFister, Janez Brest, and DusanFister, “A Brief Review of Nature-Inspired Algorithms for Optimization”, ELEKTROTEHNISKI VESTNIK 80(3): 1–7, 2013, English Edition.

Poonam Sehrawat, Manju, Harish Rohil, “Association Rule Mining Using Firefly Algorithm”, International Journal of Latest Trends in Engineering and Technology, Vol. 3, Issue 2, pp 263-270, November 2013.

Rafael S. Parpinelli, Heitor S. Lopes, and Alex A. Freitas, “Data Mining With an Ant Colony

Optimization Algorithm”, IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTING, vol. 6, no. 4, pp 321-332, AUGUST 2002

Tang Rui, Simon Fong, Xin-She Yang, Suash Deb, “Nature-inspired Clustering Algorithms for Web Intelligence Data”, IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp 147-153, 2012.

Szymon Łukasik, Piotr A. Kowalski, Małgorzata Charytanowicz, Piotr Kulczycki, “Clustering using Flower Pollination Algorithm and Calinski-Harabasz Index”, IEEE Congress on Evolutionary Computation (CEC), pp 2724-2728, 2016

Luciano D. S. Pacifico, Teresa B. Ludermir, “Group Search Optimization Method for Data Clustering”, IEEE Brazilian Conference on Intelligent Systems, pp 342-347, 2014.

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Published

2017-07-31

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Articles