Comprehensive Analysis of Data Mining Classifiers using WEKA

Hemlata Chahal

Abstract


Data Mining or knowledge extraction from a large amount of data i.e. Big Data is a crucial and important task now a days. Data Mining and its applications are the most promising and rapidly emerging technologies. A number of Open Source Big Data Mining tools are available. Users or researchers must have the knowledge of the characteristics, advantages, capabilities of the tools. This paper gives an experimental evaluation of the algorithms of WEKA. The classification algorithms are analysed on the basis of accuracy and precision by taking the real dataset. The paper presents the comprehensive evaluation of different classifiers of WEKA. It will help the future researchers or data analysing business organisation to select the best available classifier while using WEKA.

Keywords


Data Mining; Big Data; Classifiers; Big Data Mining Tools; Weka

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DOI: https://doi.org/10.26483/ijarcs.v9i2.5900

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