Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

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Éditeur :

Springer

Paru le : 2019-08-23

This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool f...
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Éditeur

Collection
n.c

Parution
2019-08-23

Pages
236 pages

EAN papier
9789813291652

Auteur(s) du livre


Dr. Muhammad Summair Raza holds a Ph.D. specialization in Software Engineering from the National University of Science and Technology (NUST), Pakistan. He completed his M.S. at the International Islamic University, Pakistan, in 2009. He is also associated with the Virtual University of Pakistan as an Assistant Professor. Having published various papers in international-level journals and conference proceedings, his research interests include Feature Selection, Rough Set Theory and Trend Analysis. Dr. Usman Qamar has over 15 years of experience in data engineering in both academia and industry. He holds a Master’s in Computer Systems Design from the University of Manchester Institute of Science and Technology (UMIST), UK, as well as an M.Phil. and Ph.D. in Computer Science from the University of Manchester, UK. Dr Qamar’s research expertise is in Data and Text Mining, Expert Systems, Knowledge Discovery, and Feature Selection, areas in which he has published extensively. He is currently a Tenured Associate Professor at the Department of Computer & Software Engineering, National University of Sciences and Technology (NUST), Pakistan, where he also heads the Knowledge and Data Engineering Research Centre (KDRC).

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EAN PDF
9789813291669
Prix
94,94 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
9011 Ko
EAN EPUB
9789813291669
Prix
94,94 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
13394 Ko

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