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

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Éditeur :

Springer

Paru le : 2017-06-28

The book will provide: 1) In depth explanation of rough set theory along with examples of the concepts. 2) Detailed discussion on idea of feature selection. 3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations. 4) Critical rev...
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Éditeur

Collection
n.c

Parution
2017-06-28

Pages
194 pages

EAN papier
9789811049644

Auteur(s) du livre


Dr Summair Raza has PhD specialization in Software Engineering from National University of Science and Technology (NUST), Pakistan. He completed his MS from International Islamic University, Pakistan in 2009. He is also associated with Virtual University of Pakistan as Assistant Professor. He has published various papers in international level journals and conferences. His research interests include Feature Selection, Rough Set Theory, Trend Analysis, Software Architecture, Software Design and Non-Functional Requirements. Dr Usman Qamar has over 15 years of experience in data engineering both in academia and industry. He has Masters in Computer Systems Design from University of Manchester Institute of Science and Technology (UMIST), UK. His MPhil and PhD in Computer Science are from University of Manchester. Dr Qamar’s research expertise are in Data and Text Mining, Expert Systems, Knowledge Discovery and Feature Selection. He has published extensively inthese subject areas. His Post PhD work at University of Manchester, involved various data engineering projects which included hybrid mechanisms for statistical disclosure and customer profile analysis for shopping with the University of Ghent, Belgium. He is currently an Assistant Professor at Department of Computer Engineering, National University of Sciences and Technology (NUST), Pakistan and also heads the Knowledge and Data Engineering Research Centre (KDRC) at NUST.

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EAN PDF
9789811049651
Prix
105,49 €
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
6994 Ko
EAN EPUB
9789811049651
Prix
105,49 €
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
2161 Ko

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