Sequential pattern mining algorithms and their applications: a technical review

N Mazumdar, PKD Sarma - International Journal of Data Science and …, 2024 - Springer
Sequential pattern mining (SPM) is a useful tool for extracting implicit and meaningful rules
from sequence datasets that can aid the decision-making process. These rules are ordered …

Behavioral embedding for continuous user verification in global settings

M Levi, I Hazan, N Agmon, S Eden - Computers & Security, 2022 - Elsevier
In recent years, user identity verification techniques based on mobile touch interaction are
becoming more reliable and prominent. These techniques can be integrated in many types …

[PDF][PDF] User Re-Authentication via Mouse Movements and Recurrent Neural Networks.

PRB Houssel, LA Leiva - ICISSP, 2024 - scitepress.org
Behavioral biometrics can determine whether a user interaction has been performed by a
legitimate user or an impersonator. In this regard, user re-authentication based on mouse …

Correlation Analysis of Stock Index Data Features Using Sequential Rule Mining Algorithms Nayanjyoti Mazumdar and Pankaj Kumar Deva Sarma

FUSR Mining - Proceedings of International Conference on Data …, 2023 - books.google.com
A massive changeover is witnessed in the stock markets worldwide during the recent
pandemic situations resulting in complicacy of people's investment choices. Investors are …

Correlation Analysis of Stock Index Data Features Using Sequential Rule Mining Algorithms

N Mazumdar, PKD Sarma - International Conference on Data, Electronics …, 2022 - Springer
A massive changeover is witnessed in the stock markets worldwide during the recent
pandemic situations resulting in complicacy of people's investment choices. Investors are …