Future Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology

Future Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology

Rownuk Jahan

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Fahmida Zaman

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Md. Sarwar Kamal

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University of Chittagong

BGC Trust University Bangladesh

Future Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology

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Abstract

Bangladesh is a promising developing country in the world. Key exportable side of Bangladesh is Ready Made Garment (RMG) sector. It has great impact on the development of the Bangladesh. It is a matter of great interest that RMG sector is healthy and handsome due to the contribution of Bangladeshi women from the beginning of the garment industry. Here we have concentrate to predict the women contribution at any time in future. We have collected the data set from Bangladesh Academic of Science and National Academic of Science India. We used K-Nearest Neighbor (K-NN) Algorithm for selecting the desired data set. Besides this KNN, Two clustering methods as K-Medoids and K-means algorithm are used. The Baysian Network (BN) helps to accomplish the proper predictions along with Markov Chain (MC). Finally we have prepared two lists of next promising country of the RMG field and the contribution of women in future development of Bangladesh.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Rownuk Jahan. 2013. \u201cFuture Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJMBR-G Volume 13 (GJMBR Volume 13 Issue G6).

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GJMBR Volume 13 Issue G6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

baysian network (BN)k-nearest neighbor (K-NN)markov chain (MC)ready made garment (RMG)women empowerment

Submission ReceivedDecember 16, 2012
Peer Review Double Blind
Handling Editor
Accepted January 4, 2013
Published January 15, 2013

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v1.2

Issue date

August 16, 2013

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Article Matrices

Total Score: 103

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Rownuk Jahan, Fahmida Zaman, Md. Sarwar Kamal (PhD/Dr. count: 0)

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Publish Date: 2013 08, Fri

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Total Views: 9528

Total Downloads: 2618

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