Incremental Feature Learning for Fraud Data Stream

Armin Sadreddin; Samira Sadaoui

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Paper

Incremental Feature Learning for Fraud Data Stream

Topics: Data Mining; Deep Learning; Industrial Applications of AI; Machine Learning; Neural Networks

In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 268-275, 2022

Authors: Armin Sadreddin and Samira Sadaoui

Affiliation: Department of Computer Science, University of Regina, Regina, Canada

Keyword(s): Incremental Feature Learning, Transfer Learning, Data Stream, Data Privacy, Credit-card Fraud Data.

Abstract: Our research addresses the actual behavior of the credit-card fraud detection environment where financial transactions containing sensitive data must not be amassed in a considerable amount to train robust classifiers. We introduce an adaptive learning approach that adjusts frequently and efficiently to new transaction chunks; each chunk is discarded after each training step. Our approach combines transfer learning and incremental feature learning. The former improves the feature relevancy for subsequent chunks, and the latter increases performance during training by dynamically determining the optimal network architecture for each new chunk. We show the effectiveness and efficiency of our approach experimentally on an actual fraud dataset.

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Paper citation in several formats:

Sadreddin, A. and Sadaoui, S. (2022). Incremental Feature Learning for Fraud Data Stream. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 268-275. DOI: 10.5220/0010812700003116

@conference{icaart22,
author={Armin Sadreddin. and Samira Sadaoui.},
title={Incremental Feature Learning for Fraud Data Stream},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2022},
pages={268-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010812700003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Incremental Feature Learning for Fraud Data Stream
SN - 978-989-758-547-0
IS - 2184-433X
AU - Sadreddin, A.
AU - Sadaoui, S.
PY - 2022
SP - 268
EP - 275
DO - 10.5220/0010812700003116
PB - SciTePress