Intelligent Teaching Recommendation Model for Practical Discussion Course of Higher Education Based on Naive Bayes Machine Learning and Improved <i>k</i>-NN Data Mining Algorithm
Aiming at the existing problems in practical teaching in higher education, we construct an intelligent teaching recommendation model for a higher education practical discussion course based on naive Bayes machine learning and an improved <i>k</i>-NN data mining algorithm. Firstly, we est...
Saved in:
| Main Authors: | Xiao Zhou, Ling Guo, Rui Li, Ling Liu, Juan Pan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/6/512 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The application of naive bayes method for final project topic selection within the project-based learning framework in the data mining course
by: Denny Kurniadi
Published: (2024-05-01) -
Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets
by: Muhammad Khahfi Zuhanda, et al.
Published: (2025-01-01) -
Major Recommendation System for New Students at SMK Muhammadiyah 1 Lamongan with Naive Bayes Algorithm
by: Wildan Irsyad Muzaqi, et al.
Published: (2025-07-01) -
Study on an improved naive Bayes algorithm in spam filtering
by: Lei YANG, et al.
Published: (2017-04-01) -
Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining
by: Wei Wang, et al.
Published: (2025-07-01)