Research Article

Identifying the Potential Role of Women in Pharmacy by Proposing a Model using Data Mining

by  Radha D., Ankitha A., Revathi A.
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 140 - Issue 1
Published: April 2016
Authors: Radha D., Ankitha A., Revathi A.
10.5120/ijca2016909167
PDF

Radha D., Ankitha A., Revathi A. . Identifying the Potential Role of Women in Pharmacy by Proposing a Model using Data Mining. International Journal of Computer Applications. 140, 1 (April 2016), 6-9. DOI=10.5120/ijca2016909167 

                        @article{ 10.5120/ijca2016909167,
                        author  = { Radha D.,Ankitha A.,Revathi A. },
                        title   = { Identifying the Potential Role of Women in Pharmacy by Proposing a Model using Data Mining },
                        journal = { International Journal of Computer Applications },
                        year    = { 2016 },
                        volume  = { 140 },
                        number  = { 1 },
                        pages   = { 6-9 },
                        doi     = { 10.5120/ijca2016909167 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2016
                        %A Radha D.
                        %A Ankitha A.
                        %A Revathi A.
                        %T Identifying the Potential Role of Women in Pharmacy by Proposing a Model using Data Mining%T 
                        %J International Journal of Computer Applications
                        %V 140
                        %N 1
                        %P 6-9
                        %R 10.5120/ijca2016909167
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Pharmacy is a practice of preparing and dispensing of medicinal drugs. Data mining is a process of discovering patterns in large data sets involving techniques at intersection of data science, artificial intelligence, machine learning, statistics, and DBMS. It holds the great potential for the healthcare industry to systematically use health data and analytics to identify inefficiencies. The paper aims to analyze the key factors which lead to increase the sale rate in a pharmacy by predicting that women assistant in a pharmacy is also a key factor to increase the sale.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Data Mining Pharmacy Sales Statistics Mining Software Covariance Matrix Women Assistants.

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