A Comprehensive Survey of Data Mining Techniques on Time Series Data for Rainfall Prediction
Journal Title: Journal of ICT Research and Applications - Year 2017, Vol 11, Issue 2
Abstract
Time series data available in huge amounts can be used in decision-making. Such time series data can be converted into information to be used for forecasting. Various techniques are available for prediction and forecasting on the basis of time series data. Presently, the use of data mining techniques for this purpose is increasing day by day. In the present study, a comprehensive survey of data mining approaches and statistical techniques for rainfall prediction on time series data was conducted. A detailed comparison of different relevant techniques was also conducted and some plausible solutions are suggested for efficient time series data mining techniques for future algorithms.
Authors and Affiliations
Hemant Kumar Soni
Keywords
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- EP ID EP324689
- DOI 10.5614/ itbj.ict.res.appl.2017.11.2.4
- Views 157
- Downloads 0
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