Md Zahidul Islam
Orcid: 0000-0002-4868-4945Affiliations:
- Charles Stuart University, Australia
According to our database1,
Md Zahidul Islam
authored at least 131 papers
between 2004 and 2024.
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Bibliography
2024
Integrating Climate and Satellite Data for Multi-Temporal Pre-Harvest Prediction of Head Rice Yield in Australia.
Remote. Sens., May, 2024
Estimating the structural diversity introduced by decision forest algorithms : A probabilistic approach.
Knowl. Based Syst., 2024
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment.
CoRR, 2024
MAPX: An explainable model-agnostic framework for the detection of false information on social media networks.
CoRR, 2024
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems.
Comput. Secur., 2024
The effect of dataset construction and data pre-processing on the eXtreme Gradient Boosting algorithm applied to head rice yield prediction in Australia.
Comput. Electron. Agric., 2024
Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study.
IEEE Access, 2024
IEEE Access, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
2023
Expert Syst. Appl., November, 2023
A Framework for Supervised Heterogeneous Transfer Learning Using Dynamic Distribution Adaptation and Manifold Regularization.
IEEE Trans. Serv. Comput., 2023
Seizure detection from Electroencephalogram signals via Wavelets and Graph Theory metrics.
CoRR, 2023
Combined Location Online Weather Data: Easy-to-use Targeted Weather Analysis for Agriculture.
CoRR, 2023
On the Development of a Protection Profile Module for Encryption Key Management Components.
IEEE Access, 2023
IEEE Access, 2023
DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text.
IEEE Access, 2023
2022
Pattern Recognit., 2022
Defining Security Requirements With the Common Criteria: Applications, Adoptions, and Challenges.
IEEE Access, 2022
How Do Organizations Seek Cyber Assurance? Investigations on the Adoption of the Common Criteria and Beyond.
IEEE Access, 2022
Machine Learning in Precision Agriculture: A Survey on Trends, Applications and Evaluations Over Two Decades.
IEEE Access, 2022
Proof-of-Enough-Work Consensus Algorithm for Enhanced Transaction Processing in Blockchain.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
WinDrift: Early Detection of Concept Drift Using Corresponding and Hierarchical Time Windows.
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022
Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities.
Proceedings of the Advanced Information Networking and Applications, 2022
Signal Classification Using Smooth Coefficients of Multiple Wavelets to Achieve High Accuracy from Compressed Representation of Signal.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
Class Imbalance and Cost-Sensitive Decision Trees: A Unified Survey Based on a Core Similarity.
ACM Trans. Knowl. Discov. Data, 2021
Privacy protection of online social network users, against attribute inference attacks, through the use of a set of exhaustive rules.
Neural Comput. Appl., 2021
A knowledge discovery and visualisation method for unearthing emotional states from physiological data.
Int. J. Mach. Learn. Cybern., 2021
Inf. Sci., 2021
Health Inf. Sci. Syst., 2021
Knowledge discovery and visualisation framework using machine learning for music information retrieval from broadcast radio data.
Expert Syst. Appl., 2021
EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining.
CoRR, 2021
Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.
Comput. Biol. Medicine, 2021
PAKES: A Reinforcement Learning-Based Personalized Adaptability Knowledge Extraction Strategy for Adaptive Learning Systems.
IEEE Access, 2021
Proceedings of the Data Mining, 2021
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
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
ACM Comput. Surv., 2019
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019
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
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
Appl. Soft Comput., 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
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018
2017
Trans. Data Priv., 2017
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
Australas. J. Inf. Syst., 2017
Proceedings of the ICT Systems Security and Privacy Protection, 2017
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017
Proceedings of the Data Mining, 2017
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
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
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
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
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
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
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
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
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
Knowl. Based Syst., 2014
FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis.
Knowl. Based Syst., 2014
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the Machine Learning and Cybernetics, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
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
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
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
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
Proceedings of the Data Security and Security Data, 2010
Proceedings of the ARES 2010, 2010
2008
Int. J. Netw. Manag., 2008
2007
Proceedings of the Security, Privacy, and Trust in Modern Data Management, 2007
2004
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004