A Statistical Analysis of Time Series for Modeling ARIMA in Monthly Beer Production

Vol-2 | Issue-1 | January 2017 | Published Online: 19 January 2017    PDF ( 238 KB )
Author(s)
V. Shanmugasundaram 1; A. Jothikannan 2

1Assistant Prof. & Head, Dept. of Statistics, Mahendra Arts & Science College (Autonomous), Namakkal, Tamil Nadu (India)

2Assistant Prof., Dept. of Statistics, Mahendra Arts & Science College (Autonomous), Namakkal, Tamil Nadu (India)

Abstract

Data mining is the process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories using pattern recognition technologies as well as statistical and mathematical techniques. XLMiner is one of the software tools for data mining. It is a complete data mining add-in software for MS-Excel. It is an affordable, easy to use tool for medium scale data mining applications. In this paper, an attempt is made to demonstrate the time series techniques in the context of data mining using freely available software MS-Excel with add-in XLMiner by providing a numerical illustration.

Keywords
Data Mining, Time series, ARIMA, XLMiner
Statistics
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