Farzana Anowar

Orcid: 0000-0002-1535-7323

According to our database1, Farzana Anowar authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Dimensionality Reduction of Service Monitoring Time-Series: An Industrial Use Case.
SN Comput. Sci., 2023

A Survey on Dimensionality Reduction Techniques for Time-Series Data.
IEEE Access, 2023

2022
Adaptive Learning for Service Monitoring Data.
CoRR, 2022

Clustering Quality of a High-dimensional Service Monitoring Time-series Dataset.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

An Ensemble-based Dimensionality Reduction for Service Monitoring Time-series.
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021
Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE).
Comput. Sci. Rev., 2021

Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling.
CoRR, 2021

Incremental learning framework for real-world fraud detection environment.
Comput. Intell., 2021

Incremental Learning with Self-labeling of Incoming High-dimensional Data.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Detection of Auction Fraud in Commercial Sites.
J. Theor. Appl. Electron. Commer. Res., 2020

Incremental Neural-Network Learning for Big Fraud Data.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Chunk-Based Incremental Classification of Fraud Data.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019
Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Auction Fraud Classification Based on Clustering and Sampling Techniques.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016
CMED: Cloud based medical system framework for rural health monitoring in developing countries.
Comput. Electr. Eng., 2016


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