Topics in Machine Learning Research

Data mining is an interdisciplinary subfield of computer science It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.

 

IEEE 2016-2017 DATA MINING RESEARCH PAPERS LIST

 

1. An Expert Clinical Decision Support System to Predict Disease Using Classification Techniques, 2017, IEEE, Medical Data Mining
2. Chronic Kidney Disease Prediction on Imbalanced Data by Multilayer Perceptron, 2017, IEEE, Medical Data Mining
3. Application of Data Mining Methods in Diabetes Prediction,2017, IEEE, Medical Data Mining
4. Predicting Depression Levels Using Social Media Posts, 2017, IEEE. Medical Data Mining
5. Implementing WEKA for medical data classification and early disease prediction, 2017, Medical Data Mining
6. Emotion classification of YouTube videos, 2017, IEEE, Text Mining
7. Sentiment analysis of the demonetization of economy 2016 India, Region wise, 2017, IEEE, Text Mining
8. Comparison of applications for educational data mining in Engineering Education, 2017, IEEE, Education Data Mining
9. Predicting Students Performance in Final Examination using Linear Regression and Multilayer Perceptron. 2017, IEEE, Education Data Mining
10. Opinion Mining of News Headlines using SentiWordNet, 2016, IEEE, Text Mining
11. A Novel Text Mining Approach Based on TF-IDF and Support Vector Machine for News Classification, 2016, IEEE, Text Mining
12. Modifying Naive Bayes Classifier for Multinomial Text Classification, 2016, IEEE, Text Mining
13. Improved Feature Extraction and Classification – Sentiment Analysis, 2016, IEEE
14. Study of Machine Learning Algorithms for Special Disease Prediction using Principal of Component Analysis, 2016, IEEE, Medical Data Mining
15. Prediction of Heart Diseases Using Associative Classification, 2016, IEEE, Medical Data Mining
16. An Efficient Framework for Heart Disease Classification using Feature Extraction and Feature Selection Technique in Data Mining, 2016, IEEE, Medical Data Mining
17. Application of Multilayer Perceptron Neural Networks and Support Vector Machines in Classification of Healthcare Data, 2016, IEEE, Medical Data Mining
18. An Efficient Framework for Heart Disease Classification using Feature Extraction and Feature Selection Technique in Data Mining,2016, IEEE, Medical Data Mining
19. Human Heart Disease Prediction System using Data Mining Techniques ,2016, IEEE, Medical Data Mining
20. Predicting Generalized Anxiety Disorder Among Women Using Random Forest Approach,2016, IEEE, Medical Data Mining
21. Different Medical Data Mining Approaches Based Prediction of Ischemic Stroke,2016, ScienceDirect, Medical Data Mining
22. Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis,2016, IEEE, Medical Data Mining
23. Application of Multilayer Perceptron Neural Networks and Support Vector Machines in Classification of Healthcare Data,2016, IEEE, Medical Data Mining
24. Machine Learning Techniques for Effective Text Analysis of Social Network E-Heath data, 2016, IEEE, Medical Data Mining
25. Investigation of Website Classification Methods Based on Data Mining Techniques, 2016, IEEE, Web Mining