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This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data.
This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern... Læs mere
This provides a comprehensive overview of the key principles of security concerns surrounding the upcoming Internet of Things (IoT), and introduces... Læs mere
The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies.
This book systematically analyses the latest insights into night vision imaging processing and perceptual understanding as well as related theories and methods.
The book describes the emergence of big data technologies and the role of Spark in the entire big data stack.
This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory.
and determining initial, basic and feasible solutions for transportation problems by means of the “supply demand reparation... Læs mere
It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications.
The book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2019).
This book provides a comprehensive introduction to rough set-based feature selection. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle.