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Machine Learning for Mining Imbalanced Data
Mining imbalanced data, which is also known as class imbalanced problem is one of the most enormous challenging tasks in machine learning for data mining applications. To achieve overall accurate performance in imbalanced ...
Cluster-Based Under-Sampling with Random Forest for Multi-Class Imbalanced Classification
Multi-class imbalanced classification has emerged as a very challenging re- search area in machine learning for data mining applications. It occurs when the number of training instances representing majority class instances ...
Machine Learning for Mining Big Data: A Review
Development of Big Data is virtually transforming our lifestyle. It is also ac- celerating industrial growth through process optimization, insight discovery and improved decision making. The massive scale of big data exceeds ...