A practical study of methods for deriving insightful attribute importance rankings using decision bireducts
Subject matter experts (SMEs) often rely on attribute importance rankings to verify machine
learning models, acquire insights into their outcomes, and gain a deeper understanding of …
learning models, acquire insights into their outcomes, and gain a deeper understanding of …
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android …
Malicious apps use a variety of methods to spread infections, take over computers and/or IoT
devices, and steal sensitive data. Several detection techniques have been proposed to …
devices, and steal sensitive data. Several detection techniques have been proposed to …
Three different optimization techniques for solving the fully rough interval multi-level linear programming problem
Due to the importance of the multi-level fully rough interval linear programming (MLFRILP)
problem to address a wide range of management and optimization challenges in practical …
problem to address a wide range of management and optimization challenges in practical …