Cluster Based Analysis and Consumption of Food Products in Targeted Public Distribution System

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Ms. P Shanmuga Priya
Ms. P Shanmuga Priya
2
Capt. Dr. S Santhosh Baboo
Capt. Dr. S Santhosh Baboo
1 P.G. & Research Department of Computer Science,D.G.Vaishnav College, Arumbakkam, Chennai, Tamilnadu.

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The Public Distribution System in India is 50 years old. At present it is being carried on as an anti-inflationary and antipoverty system. Tamil Nadu, the southernmost State in the country, is adopting the Universal Public Distribution System covering its entire population and supplying regularly rice, wheat, sugar, kerosene and other products like pulses, edible oil etc. The PDS is a centrally sponsored scheme that entitles beneficiaries to subsidized food grains every month. Several challenges have been identified in the implementation of PDS like (i) Targeting errors (ii) Large leakages or diversion (iii) The elimination of bogus cards and (iv) The problems in Fair Price Shops. This paper analyses and evaluates the problems and finds the possible solutions using the data mining techniques based on preprocessing and clustering. The K-means and K-harmonic means algorithms are combined to cluster the data based on the type of food commodities for rice and wheat.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Ms. P Shanmuga Priya. 2013. \u201cCluster Based Analysis and Consumption of Food Products in Targeted Public Distribution System\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C4): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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May 2, 2013

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English

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The Public Distribution System in India is 50 years old. At present it is being carried on as an anti-inflationary and antipoverty system. Tamil Nadu, the southernmost State in the country, is adopting the Universal Public Distribution System covering its entire population and supplying regularly rice, wheat, sugar, kerosene and other products like pulses, edible oil etc. The PDS is a centrally sponsored scheme that entitles beneficiaries to subsidized food grains every month. Several challenges have been identified in the implementation of PDS like (i) Targeting errors (ii) Large leakages or diversion (iii) The elimination of bogus cards and (iv) The problems in Fair Price Shops. This paper analyses and evaluates the problems and finds the possible solutions using the data mining techniques based on preprocessing and clustering. The K-means and K-harmonic means algorithms are combined to cluster the data based on the type of food commodities for rice and wheat.

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Cluster Based Analysis and Consumption of Food Products in Targeted Public Distribution System

Ms. P Shanmuga Priya
Ms. P Shanmuga Priya P.G. & Research Department of Computer Science,D.G.Vaishnav College, Arumbakkam, Chennai, Tamilnadu.
Capt. Dr. S Santhosh Baboo
Capt. Dr. S Santhosh Baboo

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