Data Mining Algorithm To Predict The Factors for Agricultural Development using Stochastic Model
P. Rajesh, M. Karthikeyan1, R. Arulpavai2

1P. Rajesh, Assistant Professor, PG Department of Computer Science, Government Arts and Science, C.Mutlur, Chidambaram, Tamilnadu, India.
2M. Karthikeyan, Assistant Professor, Division of Computer and Information Science, Annamalai University, Annamalainagar, Tamilnadu, India.
3R. Arulpavai, Statistical Inspector, Divisional Statistical Office, Department of Economics and Statistics, Mayiladuthurai, Tamilnadu, India. 

Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 1443-1448 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4963098319/2019©BEIESP | DOI: 10.35940/ijrte.C4963.098319
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Abstract: Data mining is a route of extract patterns from data and it is used to transforms unprocessed collections of data into information. In this paper proposes an efficient factor of agriculture development using different type of agriculture related datasets by adopting stochastic modeling and data mining approaches. Firstly, the novel model and algorithm is proposed to predict the growth of agriculture based on primary and secondary data using stochastic modeling approach. Numerical illustrations and various expected estimations also prove the proposed system approach.
Keywords: Agriculture, Data Mining, Weather Conditions and Stochastic Model.

Scope of the Article:
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