Md. Geaur Rahman

According to our database, Md. Geaur Rahman authored at least 10 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Framework for Supervised Heterogeneous Transfer Learning Using Dynamic Distribution Adaptation and Manifold Regularization.

Md Geaur Rahman, Md Zahidul Islam

IEEE Trans. Serv. Comput., 2023

2022

Adaptive Decision Forest: An incremental machine learning framework.

Md Geaur Rahman, Md Zahidul Islam

Pattern Recognit., 2022

2016

Missing value imputation using a fuzzy clustering-based EM approach.

Md. Geaur Rahman, Md Zahidul Islam

Knowl. Inf. Syst., 2016

Discretization of continuous attributes through low frequency numerical values and attribute interdependency.

Md. Geaur Rahman, Md Zahidul Islam

Expert Syst. Appl., 2016

2014

FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis.

Md. Geaur Rahman, Md Zahidul Islam

Knowl. Based Syst., 2014

Data Cleansing during Data Collection fromWireless Sensor Networks.

Md Zahidul Islam, Quazi Mamun, Md. Geaur Rahman

Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

2013

Missing value imputation using decision trees and decision forests by splitting and merging records: Two novel techniques.

Md. Geaur Rahman, Md Zahidul Islam

Knowl. Based Syst., 2013

kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set.

Md. Geaur Rahman, Md Zahidul Islam

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection.

Md. Geaur Rahman, Md Zahidul Islam, Terry Bossomaier, Junbin Gao

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing.

Md. Geaur Rahman, Md Zahidul Islam

Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011