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Mining Medicinal Information using Flowers

by S. Vigneswari, S. S. Dhenakaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 22
Year of Publication: 2014
Authors: S. Vigneswari, S. S. Dhenakaran
10.5120/16726-6915

S. Vigneswari, S. S. Dhenakaran . Mining Medicinal Information using Flowers. International Journal of Computer Applications. 95, 22 ( June 2014), 15-20. DOI=10.5120/16726-6915

@article{ 10.5120/16726-6915,
author = { S. Vigneswari, S. S. Dhenakaran },
title = { Mining Medicinal Information using Flowers },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 22 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number22/16726-6915/ },
doi = { 10.5120/16726-6915 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:20:07.320960+05:30
%A S. Vigneswari
%A S. S. Dhenakaran
%T Mining Medicinal Information using Flowers
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 22
%P 15-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mining is the art of finding unknown patterns from voluminous data. Medical data mining becomes major concern now a day. The objective of the proposed work is the association of data and prediction of treatment to cure diseases using flowers. The data source used here is the collection of flowers, which have separate medicinal values. Based upon the medicinal worthiness, the vitamin contents, in the flowers, prediction is made for the treatment of diseases. For this purpose, the association rule mining technique is taken into account. Association rules represent knowledge embedded in data sets as probabilistic insinuation and are closely related to computation of frequent item sets that occurs on the given data set.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Association Rule Mining Medicinal flowers prediction.

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