The Classification and Classification of Big Data Based on the Internet of Things

Zheng, Mingbo

doi:10.1109/icmnwc56175.2022.10031772

Cited by 1 publication

(1 citation statement)

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“…Classification is one of the main tasks of supervised learning in machine learning and data mining. The concept of classification comes from the main purpose of this technique, which is to predict the class of the input data [11], [12]. The purpose of this classification is a computer process that uses a data mining algorithm to process the review set of the Google Play Store Grab application.…”

Section: Classificationmentioning

confidence: 99%

A Comparison Support Vector Machine, Logistic Regression And Naïve Bayes For Classification Sentimen Analisys user Mobile App

Baihaqi,

Setyawan,

Manongga

et al. 2023

Int. J. Artif. Intell. Res

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Data is the most important thing, the use of data can be useful to get an evaluation from the user of a system or application that is built based on mobile. Not only, the assessment or acceptance results of mobile applications during the trial stage are considered important, assessments and comments from direct users are also important things that can be input for mobile application developers. Data mining, or known in English as data mining, is the answer to the process of retrieving data on any media. In this research, data mining is carried out on the media mobile application download service provider Google Playstore, which provides data in the form of comments and ratings. After scraping the data and obtaining the latest data parameters determined by the latest 2000 comments, the data is pre-processed by removing the emot icon character and eliminating unneeded variables so that the data obtained can be processed to the next stage, namely classification based on ratings and sentiment comments. The algorithms used or compared in this research are Support Vector machine, logistic regression and naïve bayes which are known to be reliable in data mining processing. In this research, the accuracy results are 88% for SVM, 90.5% for Logistic Regression and 91% for naïve bayes.

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Section: Classificationmentioning

confidence: 99%