Data Mining Applications
Feature Selection and Cancer Classification in Gene Expression Profile
Summary: The presence of a large number of genes in gene expression profiles poses a computational challenge for cancer classification. To address the high-dimensional feature space, this project proposes a set of frameworks that incorporate both filter-based and metaheuristic swarm-based optimization algorithms, including the binary whale optimization algorithm (BWOA), to effectively identify the most important genes.
Scientometrics
Summary: This project aims to understand how journal ranking metrics, including impact factors and citation scores, are related to their editorial boards. By applying a set of data mining and regression techniques, we attempt to reveal the association between these two entities.
Malware Analysis
Summary: This project aims to explore various feature selection approaches for malware classification at different granularity levels.
Related Publications:
[C3] Sazzed, S., Feature selection in gene expression profile employing relevancy and redundancy measures and binary whale optimization algorithm (BWOA)., In International Conference on Advanced Data Mining and Applications (ADMA), 2021.
[C2] Sazzed, S., An investigation of the performances of simple gene selection methodologies for cancer classification, In 21st IEEE International Conference on BioInformatics and BioEngineering (BIBE), 2021.
[C1] Sazzed, S., ANOVA-SRC-BPSO: a hybrid filter and swarm optimization-based method for gene selection and cancer classification using gene expression profiles, In Canadian Conference on Artificial Intelligence (Canadian AI), 2021.
Related Publications:
[C1] Sazzed, S., Analyzing Scientometric Indicators of Journals and Chief Editors: A Case Study in Artificial Intelligence (AI) Domain., In International Conference on Computational Data and Social Networks (CSoNet), 2022.
[J1] Sazzed, S., Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors., In Publications, 2021.
Impact Factor: 3.8
Related Publications:
[C1] Sazzed, S. and Ullah, S., The Enhancing Efficiency and Privacy in Memory-Based Malware Classification through Feature Selection, In International Conference on Machine Learning and Applications (ICMLA), 2023.