A Case Study of Sri Lanka Oil Price Fluctuations and Its Influencing Factors using Predictive Analytics

被引：0
|
作者：
Kandawala, D. S. A. [1 ]
Ramanayake, R. T. [1 ]
Bogahawatte, K. G. L. [1 ]
Mansoor, M. A. M. [1 ]
Wanniarachchi, D. M. [1 ]
Asanka, P. P. G. D. [1 ]
机构：
[1] Sri Lanka Inst Informat Technol, New Kandy Rd, Malabe, Sri Lanka
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION FOR SUSTAINABILITY (ICIAFS): INTEROPERABLE SUSTAINABLE SMART SYSTEMS FOR NEXT GENERATION | 2016年
关键词：
Oil Price Fluctuation; Extract-Transform-Load (ETL); Predictive Analysis; Big Data; Data Warehousing; Dimension Modeling;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Oil is one of the most crucial commodity and energy resource that guarantee the evolution of the economy and industry of a country. The price fluctuation of the oil would be the emerging factor to be concerned and discussed generally in political and economic circle in each and every country. In Sri Lanka also the problem would be same when it comes to oil industry and its influencing factors for price fluctuation. This paper provides a comprehensive implementation of data warehousing process for the petroleum industry data set. Based on the data collection, a broad data analysis has been conducted to discover patterns of oil prices and sales variation with respect to the political and economic impact factors of Sri Lanka. Through the analysis, it has proven that the influencing factors would affect to the oil prices and sales accordingly. Furthermore, this aims to present few predictions based on the analysis.
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页数：6
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