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Information Technology and Computational Physics [electronic resource] / edited by Piotr Kulczycki, László T. Kóczy, Radko Mesiar, Janusz Kacprzyk.

Contributor(s): Material type: TextTextSeries: Advances in Intelligent Systems and Computing ; 462Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: VIII, 255 p. 102 illus., 65 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319442600
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
Online resources:
Contents:
Part I: Intelligent Computing and Data Analysis -- Part II: Information Systems and Image Processing -- Part III: Computational Physics and Applied Mathematics.
In: Springer eBooksSummary: A broad spectrum of modern Information Technology (IT) tools, techniques, main developments and still open challenges is presented. Emphasis is on new research directions in various fields of science and technology that are related to data analysis, data mining, knowledge discovery, information retrieval, clustering and classification, decision making and decision support, control, computational mathematics and physics, to name a few. Applications in many relevant fields are presented, notably in telecommunication, social networks, recommender systems, fault detection, robotics, image analysis and recognition, electronics, etc. The methods used by the authors range from high level formal mathematical tools and techniques, through algorithmic and computational tools, to modern metaheuristics.
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Part I: Intelligent Computing and Data Analysis -- Part II: Information Systems and Image Processing -- Part III: Computational Physics and Applied Mathematics.

A broad spectrum of modern Information Technology (IT) tools, techniques, main developments and still open challenges is presented. Emphasis is on new research directions in various fields of science and technology that are related to data analysis, data mining, knowledge discovery, information retrieval, clustering and classification, decision making and decision support, control, computational mathematics and physics, to name a few. Applications in many relevant fields are presented, notably in telecommunication, social networks, recommender systems, fault detection, robotics, image analysis and recognition, electronics, etc. The methods used by the authors range from high level formal mathematical tools and techniques, through algorithmic and computational tools, to modern metaheuristics.