This document presents a brief outline of the work carried out as a part of the Project in the eighth semester of the undergraduate study. The document first presents the aim of the project and the background information that is necessary for understanding the project. It then describes the method that has been employed to derive the expected output. At the end, the document presents the effectiveness of the project and its analysis along with its application in the current business scenario. Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems
%0 Journal Article
%1 Jain_2015
%A Jain, Avijit
%A Pathak, Amit
%A Safoora, N Farheen
%A Vaz, Neantha Louiza
%A Prajakta, M
%D 2015
%I Auricle Technologies, Pvt., Ltd.
%J International Journal on Recent and Innovation Trends in Computing and Communication
%K Agricultural Data Mining Modelling Random Stochastic analysis data economics futures market walk
%N 4
%P 2162--2167
%R 10.17762/ijritcc2321-8169.150486
%T Stochastic Simulation in Agricultural Economics
%U http://dx.doi.org/10.17762/ijritcc2321-8169.150486
%V 3
%X This document presents a brief outline of the work carried out as a part of the Project in the eighth semester of the undergraduate study. The document first presents the aim of the project and the background information that is necessary for understanding the project. It then describes the method that has been employed to derive the expected output. At the end, the document presents the effectiveness of the project and its analysis along with its application in the current business scenario. Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems
@article{Jain_2015,
abstract = {This document presents a brief outline of the work carried out as a part of the Project in the eighth semester of the undergraduate study. The document first presents the aim of the project and the background information that is necessary for understanding the project. It then describes the method that has been employed to derive the expected output. At the end, the document presents the effectiveness of the project and its analysis along with its application in the current business scenario. Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems},
added-at = {2015-08-26T09:33:17.000+0200},
author = {Jain, Avijit and Pathak, Amit and Safoora, N Farheen and Vaz, Neantha Louiza and Prajakta, M},
biburl = {https://www.bibsonomy.org/bibtex/292ead52d7e7a79ae462bcaedaba8624f/ijritcc},
doi = {10.17762/ijritcc2321-8169.150486},
interhash = {a1667dc35068391359dc6347e1734bca},
intrahash = {92ead52d7e7a79ae462bcaedaba8624f},
journal = {International Journal on Recent and Innovation Trends in Computing and Communication},
keywords = {Agricultural Data Mining Modelling Random Stochastic analysis data economics futures market walk},
month = {april},
number = 4,
pages = {2162--2167},
publisher = {Auricle Technologies, Pvt., Ltd.},
timestamp = {2015-08-26T09:33:17.000+0200},
title = {Stochastic Simulation in Agricultural Economics},
url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150486},
volume = 3,
year = 2015
}