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Reseach Article

Constraint based Data Mining Focusing Farming Case Study

by Mamta, Shwetank Arya, R. P. Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 12
Year of Publication: 2012
Authors: Mamta, Shwetank Arya, R. P. Agarwal
10.5120/9598-4220

Mamta, Shwetank Arya, R. P. Agarwal . Constraint based Data Mining Focusing Farming Case Study. International Journal of Computer Applications. 59, 12 ( December 2012), 8-11. DOI=10.5120/9598-4220

@article{ 10.5120/9598-4220,
author = { Mamta, Shwetank Arya, R. P. Agarwal },
title = { Constraint based Data Mining Focusing Farming Case Study },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 12 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number12/9598-4220/ },
doi = { 10.5120/9598-4220 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:03:59.987133+05:30
%A Mamta
%A Shwetank Arya
%A R. P. Agarwal
%T Constraint based Data Mining Focusing Farming Case Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 12
%P 8-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining process may uncover thousands of patterns from a given data set; most of them may be unrelated to the users' interest. Also these rules occupy more memory space, take more time also require more efforts of the decision maker in analysis. To confine the search space users have the good sense of which direction of mining may lead to related or interested patterns they would like to find. Therefore, a good heuristic is to have the users specify such intuition or expectation as constraints to limit the search space. In this paper efforts are made to discover valuable patterns using the user input constraints.

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Index Terms

Computer Science
Information Sciences

Keywords

Threshold value Constraint Based data mining IDIV