Zahid Islam
Zahid Islam
Director of the Data Science Research Unit (DSRU)
Verified email at - Homepage
Cited by
Cited by
A hybrid clustering technique combining a novel genetic algorithm with K-Means
MA Rahman, MZ Islam
Knowledge-Based Systems 71, 345-365, 2014
Privacy preserving data mining: A noise addition framework using a novel clustering technique
MZ Islam, L Brankovic
Knowledge-Based Systems 24 (8), 1214-1223, 2011
Missing Value Imputation Using Decision Trees and Decision Forests by Splitting and Merging Records: Two Novel Techniques
MG Rahman, MZ Islam
Knowledge-Based Systems 53, 51 - 65, 2013
A decision tree-based missing value imputation technique for data pre-processing
G Rahman, Z Islam
Proceedings of the Ninth Australasian Data Mining Conference-Volume 121, 41-50, 2011
Software Defect Prediction Using a Cost Sensitive Decision Forest and Voting
M Siers, MZ Islam
Information Systems, 2015
Knowledge discovery through SysFor: a systematically developed forest of multiple decision trees
Z Islam, H Giggins
Proceedings of the Ninth Australasian Data Mining Conference-Volume 121, 195-204, 2011
Privacy-preserving data mining
L Brankovic, MZ Islam, H Giggins
Security, Privacy, and Trust in Modern Data Management, 151-165, 2007
FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis
MG Rahman, MZ Islam
Knowledge-Based Systems 56, 311-327, 2014
Missing Value Imputation using a Fuzzy Clustering Based EM Approach
MG Rahman, MZ Islam
Knowledge and Information Systems 46 (2), 389-422, 2015
Data mining and privacy of social network sites’ users: Implications of the data mining problem
Y Al-Saggaf, MZ Islam
Science and engineering ethics 21 (4), 941-966, 2015
Forest PA: Constructing a Decision Forest by Penalizing Attributes used in Previous Trees
MN Adnan, MZ Islam
Expert Systems with Applications (ESWA), 2017
A Framework for Privacy Preserving Classification in Data Mining
MZ Islam, L Brankovic
In Proc. of Australasian Workshop on Data Mining and Web Intelligence (DMWI …, 2004
EXPLORE: a novel decision tree classification algorithm
MZ Islam
British National Conference on Databases, 55-71, 2010
Combining K-Means and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering
MZ Islam, V Estivill-Castro, MA Rahman, T Bossomaier
Expert Systems with Applications 91, 402-417, 2018
DETECTIVE: A decision tree based categorical value clustering and perturbation technique for preserving privacy in data mining
MZ Islam, L Brankovic
INDIN'05. 2005 3rd IEEE International Conference on Industrial Informatics …, 2005
Enhancing Client Welfare through Better Communication of Private Mental Health Data Between Rural Service Providers
O Burmeister, MZ Islam, M Dayhew, M Crichton
Australasian Journal of Information Systems (AJIS) 19, 1-14, 2015
Differentially Private Random Decision Forests using Smooth Sensitivity
S Fletcher, MZ Islam
Expert Systems with Applications (ESWA) 78, 16-31, 2016
Discretization of continuous attributes through low frequency numerical values and attribute interdependency
MG Rahman, MZ Islam
Expert Systems with Applications 45, 410-423, 2016
Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm
MN Adnan, MZ Islam
Knowledge-Based Systems 110, 86-97, 2016
Measuring information quality for privacy preserving data mining
S Fletcher, MZ Islam
International Journal of Computer Theory and Engineering 7 (1), 21, 2015
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