Dewan Md. Farid

Big Data Mining in the Presence of Concept Drifting

2019 · 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)

Concept drift in big data mining is an absolute, highly demanding research issue in this digital era. A concept in "concept drift" involved in the field of data mining (DM) and machine learning (ML) studies …

Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning

2023 · arXiv (Cornell University)

ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning and reinforcement learning so …

Ameliorating Performance of Random Forest using Data Clustering

2023

Random Forest is one of the most popular supervised learning ensemble methods in machine learning. Random Forest engenders a set of random trees and considers majority voting techniques to classify known and unknown data instances. …

Pruning-Based Ensemble Tree for Multi-Class Classification

2024

Decision tree is one of the most popular classifiers in supervised learning to address classification tasks. It is easy to build and easy to understand. It is a divide-and-conquer algorithm and provides a clear path …