sets being generated because of the fast numerical simulations in various

Sets being generated because of the fast numerical

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sets being generated because of the fast numerical simulations in various fields such as climate, and ecosystem modelling, chemical engineering, fluid dynamics etc. Following are the applications of data mining in field of Scientific Applications. VII . CONCLUSION In this paper, we have discussed detail study of data mining with various studies like tasks, tools and techniques. The implementation of data mining techniques will allow users to retrieve meaningful information from virtually integrated data. These techniques provide variety of applications for industries like retail, telecommunication, Bio-medical etc. These tools predict future trends and behaviors, allowing business to make proactive and present knowledge in the form which is easily understood to human. REFERNCES [1] Tan, Steinbach, and Kumar, Introduction to Data Mining”.2004. [2] D.W. Cheung, S.D.Lee and B.Kao, “A general incremental technique for maintaining discovered association rule ”. Proc. In fifth international conference on data base system for advanced applications, Australia, 1997. [3] Y.Fu , Data Minig : Tasks, Techniques and Applications. [4] G.Piatetsky-shapiro, U.Fayyed and P.Smith. From data mining to Knowledge discovery: An overview. Advances in knowledge Discovery and Data Mining, pages 1-35, MIT Press, 1996. [5] R.Kaur, S.Kaur, A.Kaur, R.Kaur, A.Kaur, “An Overview of Database management System, Data warehousing and Data Mining”. IJARCCE, Vol.2, issue.7, July 2013. [6] K. Maheshwar and D.Singh, A Review of Data Mining based instruction detection techniques”. International Journal of Application or Innovation in Engineering & Management.Vol.2, Issue.2, Feb.2013. [7] Y. Ramamohan, K. Vasantharao, C. Kalyana Chakravarti, and A.S.K.Ratnam, “A Study of Data Mining Tools in Knowledge Discovery Process”. International Journal of Soft Computing and Engineering,Vol.2,Issue.3, July.2012. [8] M.S.Chen,J.Han,and P.S.Yu. Data Mining: An Overiew from a database Prespective. IEEE Transactions on Knowledge and Data Engineeirng, Vol.8, pp.866-883,1996. [9] Nen-Fu Huang, Chia-Nan Ka, Hsien-Wei Hun, Gin-Yuan Jai and Chia-Lin Lin ,” Apply Data Mining to Defense-in-Depth Network Security System”. Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA’05) , 2005. [10] X.Wu, X.Zhu, Gong-Qing.Wu and W.Ding , “ Data mining with big data”. IEEE Transactions On Knowledge And Data Engineering, Vol. 26, No. 1, Jan. 2014. [11] H.Wang, G.Nie and K.Fu , Distributed data mining based on semantic web and grid ”. IEEE International Conference on Computational Intelligence and Natural Computing, 2009. ACKNOWLEDGMENT The authors would like to thanks the Department of Computer Technology, Electronics and Telecommunication, V.A.P.M. Almala and S.T.C.F.E. Latur, India for their guidance and cooperation. View publication stats
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