Use of Data Mining in Make in India: In the Field of Tourism and Hospitality
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
To encourage national as well as multi-national companies, Make in India is an imagination thrown by the Government of India in the year 2014. The basic objective of the Government of India is to call business units from all over the world to invest in Indian Manufacturing industry. The field of Tourism and Hospitality is the third largest foreign exchange earner for the country and has accounted for 6.88% of the GDP during 2012-13. Also, with a share of 1.58% of the world’s tourism receipt, India is the 15th in the world as far as International Tourism Receipt is concerned. In this paper there is a small effort to predict benefits of reasons to invest in the field of tourism and hospitality with the help of different data mining techniques. Useful functionalities of data mining like Classification, Association Rule Mining, Apriori algorithm etc. have been used to understand the different aspects of statistics, employment and economic growth, issues related to sector policies, FDI policies and financial support. Data mining tool Weka has been used to predict the results.
Authors and Affiliations
Peeyush Vyas
Keywords
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