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4 papers · 2 filters
Detecting Autism Spectrum Disorder using Machine Learning
Md Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar +1
Autism Spectrum Disorder (ASD), which is a neuro development disorder, is often accompanied by sensory issues such an over sensitivity or under sensitivity to sounds and smells or…
FastForest: Increasing Random Forest Processing Speed While Maintaining Accuracy
Darren Yates, Md Zahidul Islam
Random Forest remains one of Data Mining's most enduring ensemble algorithms, achieving well-documented levels of accuracy and processing speed, as well as regularly appearing in n…
A Novel Incremental Clustering Technique with Concept Drift Detection
Mitchell D. Woodbright, Md Anisur Rahman, Md Zahidul Islam
Data are being collected from various aspects of life. These data can often arrive in chunks/batches. Traditional static clustering algorithms are not suitable for dynamic datasets…
Tree Index: A New Cluster Evaluation Technique
A. H. Beg, Md Zahidul Islam, Vladimir Estivill-Castro
We introduce a cluster evaluation technique called Tree Index. Our Tree Index algorithm aims at describing the structural information of the clustering rather than the quantitative…