About
Amira M. Idrees is an active researcher in the fields of data mining, machine learning, and decision support systems. Her work focuses on developing innovative models for text classification, feature selection optimization, and collaborative systems. She frequently collaborates with scholars like Ayman E. Khedr, contributing to advancements in areas such as blockchain-based exam reliability, Arabic text processing, and social network credibility analysis. Her research spans interdisciplinary applications in healthcare, banking, and education.
Publications span journals like International Journal of e-Collaboration, Neural Computing and Applications, and Social Network Analysis and Mining. Key themes include automation in document classification, genetic algorithm adaptations for prediction, and leveraging swarm intelligence for optimization problems.
Her contributions emphasize practical solutions for real-world challenges, such as improving online exam integrity using blockchain and enhancing banking decision-making through data mining. These works demonstrate a focus on bridging computational methods with societal needs in education and healthcare sectors.
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