Using classification data mining techniques for students performance prediction
N Ketui, W Wisomka, K Homjun - 2019 joint international …, 2019 - ieeexplore.ieee.org
The big problem of retired or drop out students is about academic achievement. The
educational institution needs to follow up the advising system since advisers should guide …
educational institution needs to follow up the advising system since advisers should guide …
Diabetes prediction using machine learning techniques: a comparative analysis
K Pavani, P Anjaiah, NV Krishna Rao… - Energy Systems, Drives …, 2020 - Springer
Abstract Nowadays, Machine Learning and Artificial Intelligence play a important role in the
healthcare sector. Diabetes is one of the most populated diseases in the world according to …
healthcare sector. Diabetes is one of the most populated diseases in the world according to …
Student Performance Monitoring System Using Decision Tree Classifier
V Ramakrishna Sajja, P Jhansi Lakshmi… - … Intelligence and Soft …, 2021 - Springer
The enormous issue of drop-out students or resigned is regarding scholarly
accomplishment. The academic organization wants to catch up the prompting framework …
accomplishment. The academic organization wants to catch up the prompting framework …
[PDF][PDF] Association rule mining with permutation for estimating students performance and its smart education system
N Ketui, W Wisomka, K Homjun - Journal of Computers, 2019 - csroc.org.tw
Nowadays, Education Data Mining is the business domain to help the quality of institute.
This paper proposed Association Rule Mining (ARM) to discover the interesting patterns …
This paper proposed Association Rule Mining (ARM) to discover the interesting patterns …
Semantic Segmentation Using ENet Architecture
P Mohan Sai Kumar, NV Krishna Rao… - Energy Systems, Drives …, 2020 - Springer
Interests in augmented reality wearable's, automated devices used in home, self-driving
vehicles are in high demand, which uses semantic segmentation. The methodology includes …
vehicles are in high demand, which uses semantic segmentation. The methodology includes …
[PDF][PDF] PREDICTION OF STUDENT PERFORMANCE USING DECISION TREE CLASSIFIER
The enormous issue of drop out students or submissive is regarding scholarly
accomplishment. The academic organization wants to catch up the prompting framework …
accomplishment. The academic organization wants to catch up the prompting framework …