Taxonomy on the Integration of Hadoop and Rapid Miner for Big Data Analytics

Utmal, Meghna; Pandey, Rashmi

doi:10.1109/cicn.2015.175

Cited by 2 publications

(1 citation statement)

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“…Rapidminer sebagai solusi untuk memprediksi dan menganalisis komputasi statistik [13]. Model yang telah dibentuk diuji tingkat akurasinya dengan memasukkan data uji yang berasal dari data training.…”

Section: Hasil Pengujian Model Dan Evaluationunclassified

Implementasi Algoritma Naïve Bayes Dalam Penentuan Rating Buku

et al. 2020

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Books are one of the most widely used objects in daily life. With the development of the times, there are other alternatives that can be used to read books without having to buy books in stores. One alternative is the website www.goodreads.com where the website provides a variety of books. On the website, we can also give ratings and review s of books that we have read. These review s and ratings can provide a reference for readers. For this reason, an analysis of book rating is required based on data obtained from the www.kaggle.com website. By processing the data obtained will find the best book viewed from several aspects. The purpose of this research is to determine the rating of a book as a reference for readers in choosing the appropriate book. In this study using a classification algorithm naïve bayes data mining. This research was assisted by rapidminer and Python tools as tools to manage data. The results obtained are the results of determining the book rating using the naïve bayes method having an accuracy of 66.98%, precision 74.47% and recall 62.47% and the results of this analysis are obtained from the dataset available on the website www.kaggle.com showing that the majority book rating predictions tend to be low.

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Section: Hasil Pengujian Model Dan Evaluationunclassified