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Advances in Data Analysis with Computational Intelligence Methods

Dedicated to Professor Jacek Żurada

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  • © 2018

Overview

  • Presents present and future challenges of computational intelligence
  • Presents Advances in Data Analysis and Systems Modeling with Computational Intelligence Methods
  • Dedicated book to Professor Jacek Zurada
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 738)

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Table of contents (18 chapters)

  1. Data Mining, Machine Learning, Knowledge Discovery

  2. Neural Networks and Connectionist Systems

  3. Intelligent Technologies in Systems Modeling

  4. Intelligent Technologies in Decision Making, Optimization and Control

  5. Applications of Intelligent Technologies

Keywords

About this book

This book is a tribute to Professor Jacek Żurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Żurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few.

At the same time, the book recognizes and honors Professor Żurada’s dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world’s largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields.

The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies.



Editors and Affiliations

  • Department of Medicine, Division of Nephrology and Hypertension, University of Louisville, Louisville, USA

    Adam E Gawęda

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  • Institute of Computational Intelligence, Department of Mechanical Engineering and Computer Science, Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  • School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, USA

    Gary G. Yen

Bibliographic Information

  • Book Title: Advances in Data Analysis with Computational Intelligence Methods

  • Book Subtitle: Dedicated to Professor Jacek Żurada

  • Editors: Adam E Gawęda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-67946-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-67945-7Published: 05 October 2017

  • Softcover ISBN: 978-3-319-88516-2Published: 15 August 2018

  • eBook ISBN: 978-3-319-67946-4Published: 21 September 2017

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XX, 412

  • Number of Illustrations: 67 b/w illustrations, 59 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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