Advances in Data Analysis with Computational Intelligence Methods

Dedicated to Professor Jacek Żurada

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

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

Table of contents

  1. Front Matter
    Pages i-xx
  2. Data Mining, Machine Learning, Knowledge Discovery

    1. Front Matter
      Pages 1-1
    2. Jerzy Błaszczyński, Jerzy Stefanowski
      Pages 51-85
    3. Paweł Szmeja, Maria Ganzha, Marcin Paprzycki, Wiesław Pawłowski
      Pages 87-125
  3. Neural Networks and Connectionist Systems

    1. Front Matter
      Pages 141-141
    2. Krzysztof J. Cios
      Pages 183-200
  4. Intelligent Technologies in Systems Modeling

    1. Front Matter
      Pages 201-201
    2. Krystian Łapa, Krzysztof Cpałka, Leszek Rutkowski
      Pages 225-264
    3. Krassimir T. Atanassov, Peter Vassilev
      Pages 265-274
  5. Intelligent Technologies in Decision Making, Optimization and Control

    1. Front Matter
      Pages 275-275
    2. Jacek Mańdziuk
      Pages 277-292
    3. Miłosz Kadziński, Michał K. Tomczyk, Roman Słowiński
      Pages 293-309
  6. Applications of Intelligent Technologies

    1. Front Matter
      Pages 323-323
    2. Adam E. Gawęda, Michael E. Brier
      Pages 325-333
    3. Krystian Łapa, Krzysztof Cpałka
      Pages 353-373
    4. Marcin Zalasiński, Krzysztof Cpałka, Leszek Rutkowski
      Pages 375-394
    5. S. Piasecki, R. Szmurlo, J. Rabkowski, M. P. Kazmierkowski
      Pages 395-412

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.


Computational Intelligence Challenges of Computational Intelligence Data Analysis Systems Modeling Jacek Zurada

Editors and affiliations

  • Adam E Gawęda
    • 1
  • Janusz Kacprzyk
    • 2
  • Leszek Rutkowski
    • 3
  • Gary G. Yen
    • 4
  1. 1.Department of Medicine, Division of Nephrology and HypertensionUniversity of LouisvilleLouisvilleUSA
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  3. 3.Institute of Computational Intelligence, Department of Mechanical Engineering and Computer ScienceCzęstochowa University of TechnologyCzęstochowaPoland
  4. 4.School of Electrical and Computer EngineeringOklahoma State UniversityStillwaterUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67945-7
  • Online ISBN 978-3-319-67946-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site