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Reseach Article

Article:Use of Data Mining Tools in the Fields of Tea Cultivation and Tea Industry of Assam

by Sadiq Hussain, Nayeemuddin Ahmed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 4
Year of Publication: 2011
Authors: Sadiq Hussain, Nayeemuddin Ahmed
10.5120/3813-5266

Sadiq Hussain, Nayeemuddin Ahmed . Article:Use of Data Mining Tools in the Fields of Tea Cultivation and Tea Industry of Assam. International Journal of Computer Applications. 31, 4 ( October 2011), 27-41. DOI=10.5120/3813-5266

@article{ 10.5120/3813-5266,
author = { Sadiq Hussain, Nayeemuddin Ahmed },
title = { Article:Use of Data Mining Tools in the Fields of Tea Cultivation and Tea Industry of Assam },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 4 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 27-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number4/3813-5266/ },
doi = { 10.5120/3813-5266 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:16.640454+05:30
%A Sadiq Hussain
%A Nayeemuddin Ahmed
%T Article:Use of Data Mining Tools in the Fields of Tea Cultivation and Tea Industry of Assam
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 4
%P 27-41
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining has great potential in the fields of tea cultivation and tea industry of Assam for exploring the hidden patterns in the data sets of the domain. These patterns can be utilized for tea cultivation analysis. However, the available raw data are widely distributed, heterogeneous in nature, and voluminous. These data need to be collected in an organized form. This collected data can be then integrated to form an information system. Data mining technology provides a user-oriented approach to novel and hidden patterns in the data. Data mining and statistics both strive towards discovering patterns and structures in data. Statistics deals with heterogeneous numbers only,where data mining deals with heterogeneous fields.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Apriori Algorithm Association Rule