Robust High-dimensional Bioinformatics Data Streams Mining by ODR-ioVFDT.Outlier detection in bioinformatics data streaming mining has received significant attention by research communities in recent years.  In this paper, we propose a novel algorithm called ODR with incrementally Optimized Very Fast Decision Tree (ODR-ioVFDT) for taking care of outliers in the progress of continuous data learning.  The proposed algorithm is tested using datasets of five bioinformatics scenarios and comparing the performance of our model and other ones without ODR.  The results show that ODR-ioVFDT has better performance in classification accuracy, kappa statistics, and time consumption.  The ODR-ioVFDT applied onto bioinformatics streaming data processing for detecting and quantifying the information of life phenomena, states, characters, variables and components of the organism can help to diagnose and treat disease more effectively.
ODR
Robust High-dimensional Bioinformatics Data Streams Mining by ODR-ioVFDT.Outlier detection in bioinformatics data streaming mining has received significant attention by research communities in recent years.  In this paper, we propose a novel algorithm called ODR with incrementally Optimized Very Fast Decision Tree (ODR-ioVFDT) for taking care of outliers in the progress of continuous data learning.  The results show that ODR-ioVFDT has better performance in classification accuracy, kappa statistics, and time consumption.  The ODR-ioVFDT applied onto bioinformatics streaming data processing for detecting and quantifying the information of life phenomena, states, characters, variables and components of the organism can help to diagnose and treat disease more effectively.
ioVFDT