Items where Author is "Abdul Kareem, Jaithunbi"
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data mining
Abdul Kareem, Razia Sulthana ORCID: 0000-0001-5331-1310, Abdul Kareem, Jaithunbi and P, Supraja (2022) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. (In Press)
decision trees
Abdul Kareem, Razia Sulthana ORCID: 0000-0001-5331-1310, Abdul Kareem, Jaithunbi and P, Supraja (2022) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. (In Press)
heart disease
Abdul Kareem, Razia Sulthana ORCID: 0000-0001-5331-1310, Abdul Kareem, Jaithunbi and P, Supraja (2022) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. (In Press)
naive Bayes
Abdul Kareem, Razia Sulthana ORCID: 0000-0001-5331-1310, Abdul Kareem, Jaithunbi and P, Supraja (2022) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. (In Press)
prediction
Abdul Kareem, Razia Sulthana ORCID: 0000-0001-5331-1310, Abdul Kareem, Jaithunbi and P, Supraja (2022) Application of machine learning algorithms in predicting the heart disease in patients. In: 2023 Third International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. (In Press)
Security breach · Naive bayes · Logistic Regression · Machine Learning
Abdul Kareem, Razia Sulthana ORCID: 0000-0001-5331-1310, Verma, Avani and Abdul Kareem, Jaithunbi (2022) A detailed analysis on spam emails and detection using Machine Learning algorithms. In: Conference Proceedings Inventive Systems and Control. Springer. (In Press)