This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but ……続きを見る
The book will provide:
In depth explanation of rough set theory along with examples of the concepts.
Detailed discussion on idea of feature selection.
Details of various representative and sta……続きを見る
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 classificat……続きを見る
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. Th……続きを見る
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, an……続きを見る
This book constitutes the refereed proceedings of the 15th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2024, held in Gardanne, France, during April 9–10, 2……続きを見る
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of the……続きを見る
This book discusses the smooth integration of optical and RF networks in 5G and beyond (5G+) heterogeneous networks (HetNets), covering both planning and operational aspects. The integration of high……続きを見る
