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  • 标题:Data Mining and Analysis of Economic Data
  • 本地全文:下载
  • 作者:Rinkesh Jain ; Divakar Singh
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:8
  • 出版社:S.S. Mishra
  • 摘要:Gross State Domestic Product (GSDP) is a benchmark for economic production conditions of an Indian state. It is also a measure of standard of living of people in a particular region. Estimates of economic growth in an Indian state has important roles, among others as a touchstone in determining business plans for business entities, and also the basis for devising government policies. This study has been attempted to shed light on the issues such as forecasting growth rates of GSDP of Madhya Pradesh. In this study data has been collected about various sectors like Primary Sector, Secondary Sector, Tertiary Sector (Services) at current and constant prices and showing the current inclination in these sectors. GSDP is the summation of these sectors, thus also showing inclination of GSDP and its growth over previous year. After observing inclination in these sectors, some tools and techniques for forecasting growth of GSDP of Madhya Pradesh has been discussed
  • 关键词:GSDP; Growth Rate Primary Sector; Secondary Sector; Tertiary Sector
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