Recommender System for Predicting Students' Academic performance in association with Cognitive state and Affective state using Sentiment Analysis and Association Rule Mining on the closed ended questionnaire-Reference-Cited by-同舟云学术

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Recommender System for Predicting Students' Academic performance in association with Cognitive state and Affective state using Sentiment Analysis and Association Rule Mining on the closed ended questionnaire

Published:2023-05-24 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Information Technology Trends (ITT)
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Author:

M Amala Jayanthi¹,I Elizabeth Shanthi²,Ramasamy Lakshmana Kumar³

Affiliation:

1. Avinashilingam Institute for Home Science and Higher Education for Women,Department of Computer Science,India

2. Avinashilingam Institution for Home Science and Higher Education for Women, Avinashilingam University,Department of Computer Science,Coimbatore,Tamil Nadu,India

3. Higher Colleges of Technology,Faculty of Computer Information Science,Ras Al- Khaimah,United Arab Emirates

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184219/10184227/10184251.pdf?arnumber=10184251

Reference30 articles.

1. An improved Apriori-based algorithm for friends recommendation in microblog

2. Privacy Preserving Data Mining Using Association Rule Based on Apriori Algorithm

3. Fuzzy unordered rule induction algorithm based classification for reliable communication using wearable computing devices in healthcare

4. Classification Based on Decision Tree Algorithm for Machine Learning

5. A Secured Data Processing Model for Monitoring the Student’s Performance Using Decentralized Application

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