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Implementation of Data Mining Algorithm With R

Implementation of Data Mining Algorithm With R

C. Deisy, Mercelin Francis
Copyright: © 2019 |Pages: 34
ISBN13: 9781522549994|ISBN10: 1522549994|ISBN13 Softcover: 9781522587859|EISBN13: 9781522550006
DOI: 10.4018/978-1-5225-4999-4.ch007
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MLA

Deisy, C., and Mercelin Francis. "Implementation of Data Mining Algorithm With R." Sentiment Analysis and Knowledge Discovery in Contemporary Business, edited by Dharmendra Singh Rajput, et al., IGI Global, 2019, pp. 92-125. https://doi.org/10.4018/978-1-5225-4999-4.ch007

APA

Deisy, C. & Francis, M. (2019). Implementation of Data Mining Algorithm With R. In D. Rajput, R. Thakur, & S. Basha (Eds.), Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 92-125). IGI Global. https://doi.org/10.4018/978-1-5225-4999-4.ch007

Chicago

Deisy, C., and Mercelin Francis. "Implementation of Data Mining Algorithm With R." In Sentiment Analysis and Knowledge Discovery in Contemporary Business, edited by Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, 92-125. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-4999-4.ch007

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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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