Author

Saifur Rahman Mazumder

h-index 0 View on Semantic Scholar

We have 1 of 3 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Aug 2026

DICS: Data-Informed Centroid Splitting for Decision Tree Classifiers

Data-Informed Centroid Splitting (DICS), a clustering-based framework that constructs a compact and informative set of candidate splits using data-driven priors, significantly reduces the split search space for classification tasks while preserving predictive performance.

Saifur Rahman Mazumder, Feng Yu · 0 citations