Time Series Forecasting of Stock Market Index

被引：0
|
作者：
Agarwal, Udit [1 ]
Sabitha, A. Sai [1 ]
机构：
[1] Amity Univ, Noida, UP, India
来源：
2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP) | 2016年
关键词：
Data mining; information mining; Time Series; Forecasting; Prediction; Windowing;
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：
Data mining is the extraction of information from huge chunks of the dataset. It's also called information mining. It is applied in various fields like medicine, environment, education, crime etc. In this paper, time series prediction of Indian stock market is done to predict the values of SENSEX index in upcoming days. This research paper has used SENSEX's Index dataset since 2006 to 2016 for time series forecasting using Rapid miner. The model is designed in rapid miner to predict the time series data. The research work is done to predict the SENSEX index in upcoming days.
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页数：6
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