Time Series Forecasting of Gold Prices

被引：0

作者：

Khan, Saim ^{[1
]}

Bhardwaj, Shweta ^{[1
]}

机构：

[1] Amity Univ Uttar Pradesh, Comp Sci & Engn Dept, Noida, Uttar Pradesh, India

来源：

EMERGING TRENDS IN EXPERT APPLICATIONS AND SECURITY | 2019年 / 841卷

关键词：

Data mining; Knowledge discovery; Predictive analysis; Time series forecasting; Windowing;

D O I：

10.1007/978-981-13-2285-3_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Data mining is a computing process, for extracting useful information from huge data sets. Using the extracted information, powerful insights such as predictive capabilities and patterns can be acquired. This process of extracting insights from data is also known as KDD (knowledge discovery and data mining). In this paper, time series prediction of gold prices in India is done to predict the price in INR, for gold for the year 2018 up to 31 October 2018. This research paper has used data set for the gold type: MCX Gold, from Quandl. The tool used for modelling this design is RapidMiner, to predict the time series data. This research work has been conducted to predict the price of gold in INR for the year 2018.

引用

页码：63 / 71

页数：9

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