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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015 | Popularity: 6.1 / 10

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Decision Support System for Industries using Naive Bayesian Classification with Laplace Smoothing

Y. Ratnavali, V. Valli Kumari

Abstract: Industries have a key role in rural development programmes. In most of the countries like India, industries play an important role in employment creation, resource utilization and income generation. Jute industry is mainly labour intensive industry. By establishing a jute industry employability of the village may increase. But establishing an industry in a particular place is a challenging task for entrepreneur. Entrepreneur has to take decision about the place to establish an industry, for this purpose he/she has to visit so many places for studying parameters. These parameters include availability of raw facts, labour, power, fuel, water, area, transportation and climatic conditions. A Decision Support System is required in such conditions, to guide entrepreneurs

Keywords: Jute industry, decision support system, Naive Bayesian classification, Laplace smoothing, industry establishment

Edition: Volume 4 Issue 10, October 2015

Pages: 374 - 377

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