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A Hybrid Approach to Questionnaire Generation Using Las Vegas Algorithm and Naive Bayes Algorithm

Open Access

Journal Type:Research Article

Subject:Engineering & Technology

Subject Field:Systems Engineering

Volume:102, Issue: 1, June, 2022

Publish Date:7 June 2022 12:00 am

Pages:367-377

Download:905

Views:811

Abstract

Examination plays an important role in testing the student?s knowledge. The conventional style of creating, preparing, and generation of test questions manually is intriguing and cumbersome. In this study, we introduce an automated questionnaire generation system that uses a hybrid approach using Na?ve Bayes (NB) and Las Vegas Algorithm (LVA). LVA is a randomized algorithm by Laslo Babai that always produces a correct result but has a running time that is based on a random value. While NB is one of the most well-known data mining algorithms for classification.

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