Classification of Diabetes Dataset with Data Mining Techniques by Using WEKA Approach

Author:

Alpan Kezban,Ilgi Galip Savas

Publisher

IEEE

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization;Neural Computing and Applications;2024-07-24

2. LDA-GWO: Utilizing LDA and Gray Wolf Optimizer in Diabetes Diseases Diagnosis;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

3. The Proposal of a Dashboard for Analysis and Visualization of Educational Data of Intelligent Tutoring Systems;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

4. Applying Educational Data Mining to Classify Students in an Intelligent Tutoring System for Algebra Instruction;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

5. Optimizing Diabetes Predictive Modeling with Automated Decision Trees;2023 IEEE Smart World Congress (SWC);2023-08-28

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