Implementation of Data Mining Algorithm With R

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Author(s): C. Deisy (Thiagarajar College of Engineering, India)and Mercelin Francis (Thiagarajar College of Engineering, India)
Copyright: 2019
Pages: 34
Source title: Sentiment Analysis and Knowledge Discovery in Contemporary Business
Source Author(s)/Editor(s): Dharmendra Singh Rajput (VIT University, India), Ramjeevan Singh Thakur (Maulana Azad National Institute of Technology, India)and S. Muzamil Basha (VIT University, India)
DOI: 10.4018/978-1-5225-4999-4.ch007

Keywords: Business and Organizational Research / Business Science Reference / Knowledge Discovery / Library & Information Science

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Abstract

R is a programming language that uses command-line scripting for graphical and statistical analysis and representation and finally generating a report. It is a free, open source, powerful, and highly extensible tool for data analysis. It consists of a large repository of intermediate tools for statistical and graphical analysis of data which utilizes conditional loops and user-defined functions with input and output capabilities. Statistical and analytical techniques are developed with R for various decision-making processes like forecasting, social media analytics, text mining, and so on. The chapter focuses on the basics of R, data storage elements, and its manipulation. It also highlights the usage of the machine learning algorithms for prediction, clustering, and classification. Applications like text mining are implemented to extract various patterns or rules based on the scenario. Illustrations are explained providing a base for developing many applications applying the basic concepts of R.

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