Md Zahidul Islam

Affiliations:
  • Charles Stuart University, Australia


According to our database1, Md Zahidul Islam authored at least 95 papers between 2004 and 2021.

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Bibliography

2021
Class Imbalance and Cost-Sensitive Decision Trees: A Unified Survey Based on a Core Similarity.
ACM Trans. Knowl. Discov. Data, 2021

A knowledge discovery and visualisation method for unearthing emotional states from physiological data.
Int. J. Mach. Learn. Cybern., 2021

FastForest: Increasing random forest processing speed while maintaining accuracy.
Inf. Sci., 2021

<i>BDF</i>: A new decision forest algorithm.
Inf. Sci., 2021

Detecting autism spectrum disorder using machine learning techniques.
Health Inf. Sci. Syst., 2021

A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization.
CoRR, 2021

Adaptive Decision Forest: An Incremental Machine Learning Framework.
CoRR, 2021

2020
Detecting Autism Spectrum Disorder using Machine Learning.
CoRR, 2020

A Novel Incremental Clustering Technique with Concept Drift Detection.
CoRR, 2020

Tree Index: A New Cluster Evaluation Technique.
CoRR, 2020

Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement.
CoRR, 2020

A Hyperconnected Smart City Framework: Digital Resources Using Enhanced Pedagogical Techniques.
Australas. J. Inf. Syst., 2020

HeMI ++: A Genetic Algorithm based Clustering Technique for Sensible Clusters.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A novel quick seizure detection and localization through brain data mining on ECoG dataset.
Neural Comput. Appl., 2019

Decision Tree Classification with Differential Privacy: A Survey.
ACM Comput. Surv., 2019

Data mining and knowledge discovery from physiological sensors.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Using Z-score to Extract Human Readable Logic Rules from Physiological Data.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Discovering Emotional Logic Rules From Physiological Data of Individuals.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Protection of User-Defined Sensitive Attributes on Online Social Networks Against Attribute Inference Attack via Adversarial Data Mining.
Proceedings of the Information Systems Security and Privacy - 5th International Conference, 2019

Privacy Preservation of Social Network Users Against Attribute Inference Attacks via Malicious Data Mining.
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

Improving Clustering via a Fine-Grained Parallel Genetic Algorithm with Information Sharing.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

A Novel Approach for Noisy Signal Classification Through the Use of Multiple Wavelets and Ensembles of Classifiers.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Clustering Noisy Temporal Data.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
Novel algorithms for cost-sensitive classification and knowledge discovery in class imbalanced datasets with an application to NASA software defects.
Inf. Sci., 2018

Combining K-Means and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering.
Expert Syst. Appl., 2018

Application of a density based clustering technique on biomedical datasets.
Appl. Soft Comput., 2018

Comparing sets of patterns with the Jaccard index.
Australas. J. Inf. Syst., 2018

Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

SPAARC: A Fast Decision Tree Algorithm.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

On Improving the Prediction Accuracy of a Decision Tree Using Genetic Algorithm.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
Measuring Rule Retention in Anonymized Data - When One Measure Is Not Enough.
Trans. Data Priv., 2017

Differentially private random decision forests using smooth sensitivity.
Expert Syst. Appl., 2017

Forest PA: Constructing a decision forest by penalizing attributes used in previous trees.
Expert Syst. Appl., 2017

Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016.
Australas. J. Inf. Syst., 2017

ForEx++: A New Framework for Knowledge Discovery from Decision Forests.
Australas. J. Inf. Syst., 2017

3LP: Three Layers of Protection for Individual Privacy in Facebook.
Proceedings of the ICT Systems Security and Privacy Protection, 2017

Social media users' privacy against malicious data miners.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Rank Forest: Systematic Attribute Sub-spacing in Decision Forest.
Proceedings of the Data Mining, 2017

Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Effects of Dynamic Subspacing in Random Forest.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Genetic algorithm with healthy population and multiple streams sharing information for clustering.
Knowl. Based Syst., 2016

Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm.
Knowl. Based Syst., 2016

Missing value imputation using a fuzzy clustering-based EM approach.
Knowl. Inf. Syst., 2016

Discretization of continuous attributes through low frequency numerical values and attribute interdependency.
Expert Syst. Appl., 2016

Brand Switching Pattern Discovery by Data Mining Techniques for the Telecommunication Industry in Australia.
Australas. J. Inf. Syst., 2016

Forest CERN: A New Decision Forest Building Technique.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

RBClust: High quality class-specific clustering using rule-based classification.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Novel crossover and mutation operation in genetic algorithm for clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A novel genetic algorithm-based clustering technique and its suitability for knowledge discovery from a brain data set.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Addressing Class Imbalance and Cost Sensitivity in Software Defect Prediction by Combining Domain Costs and Balancing Costs.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

On Improving Random Forest for Hard-to-Classify Records.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Data Mining and Privacy of Social Network Sites' Users: Implications of the Data Mining Problem.
Sci. Eng. Ethics, 2015

ModEx and Seed-Detective: Two novel techniques for high quality clustering by using good initial seeds in K-Means.
J. King Saud Univ. Comput. Inf. Sci., 2015

An anonymization technique using intersected decision trees.
J. King Saud Univ. Comput. Inf. Sci., 2015

Software defect prediction using a cost sensitive decision forest and voting, and a potential solution to the class imbalance problem.
Inf. Syst., 2015

Measuring pattern retention in anonymized data - where one measure is not enough.
CoRR, 2015

Enhancing client welfare through better communication of private mental health data between rural service providers.
Australas. J. Inf. Syst., 2015

Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data sets.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

One-vs-all binarization technique in the context of random forest.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

AWST: A Novel Attribute Weight Selection Technique for Data Clustering.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

Multiple Imputation on Partitioned Datasets.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

A Differentially Private Decision Forest.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

Complement Random Forest.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

Standoff-Balancing: A Novel Class Imbalance Treatment Method Inspired by Military Strategy.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

A Differentially Private Random Decision Forest Using Reliable Signal-to-Noise Ratios.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014
A hybrid clustering technique combining a novel genetic algorithm with K-Means.
Knowl. Based Syst., 2014

FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis.
Knowl. Based Syst., 2014

Cost Sensitive Decision Forest and Voting for Software Defect Prediction.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

The Performance of Objective Functions for Clustering Categorical Data.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2014

Quality Evaluation of an Anonymized Dataset.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Extended Space Decision Tree.
Proceedings of the Machine Learning and Cybernetics, 2014

DenClust: A Density Based Seed Selection Approach for K-Means.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Empowering users of social networks to assess their privacy risks.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Hartigan's Method for K-modes Clustering and Its Advantages.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

Data Cleansing during Data Collection fromWireless Sensor Networks.
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.
Knowl. Based Syst., 2013

kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
A Tableau Based Automated Theorem Prover Using High Performance Computing.
J. Comput., 2012

CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A One-Pass Tableau-Based Workflow Verification Framework.
Proceedings of the Third Workshop on Practical Aspects of Automated Reasoning, 2012

CRUDAW: A Novel Fuzzy Technique for Clustering Records Following User Defined Attribute Weights.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

2011
Privacy preserving data mining: A noise addition framework using a novel clustering technique.
Knowl. Based Syst., 2011

Seed-Detective: A Novel Clustering Technique Using High Quality Seed for K-Means on Categorical and Numerical Attributes.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

Irrigation Water Demand Forecasting - A Data Pre-Processing and Data Mining Approach based on Spatio-Temporal Data.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

Knowledge Discovery through SysFor - a Systematically Developed Forest of Multiple Decision Trees.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

2010
EXPLORE: A Novel Decision Tree Classification Algorithm.
Proceedings of the Data Security and Security Data, 2010

Communal Reputation and Individual Trust (CRIT) in Wireless Sensor Networks.
Proceedings of the ARES 2010, 2010

2008
A tree-based approach to matchmaking algorithms for resource discovery.
Int. J. Netw. Manag., 2008

2007
Privacy-Preserving Data Mining.
Proceedings of the Security, Privacy, and Trust in Modern Data Management, 2007

2004
A Framework for Privacy Preserving Classification in Data Mining.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004


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