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Advances in Machine Learning II

Dedicated to the memory of Professor Ryszard S. Michalski

  • Book
  • © 2010

Overview

Editors:
  1. Jacek Koronacki

    1. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

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  2. Zbigniew W. Raś

    1. Woodward Hall 430C, University of North Carolina, Charlotte, USA

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  3. Sławomir T. Wierzchoń

    1. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

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  4. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

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  • State of the art of Machine Learning
  • Dedicated to the memory of Professor Ryszard S. Michalski

Part of the book series: Studies in Computational Intelligence (SCI, volume 263)

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Table of contents (24 chapters)

  1. Front Matter

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  2. General Issues

    1. Front Matter

      Pages 1-1
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    2. Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation

      • Witold Pedrycz
      Pages 3-21

    3. Toward Interactive Computations: A Rough-Granular Approach

      • Andrzej Skowron, Marcin Szczuka
      Pages 23-42

    4. Data Privacy: From Technology to Economics

      • Stan Matwin, Tomasz Szapiro
      Pages 43-74

    5. Adapting to Human Gamers Using Coevolution

      • Phillipa M. Avery, Zbigniew Michalewicz
      Pages 75-100

    6. Wisdom of Crowds in the Prisoner’s Dilemma Context

      • Mirsad Hadzikadic, Min Sun
      Pages 101-118

  3. Logical and Relational Learning, and Beyond

    1. Front Matter

      Pages 119-119
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    2. Towards Multistrategic Statistical Relational Learning

      • Marenglen Biba, Stefano Ferilli, Floriana Esposito
      Pages 121-142

    3. About Knowledge and Inference in Logical and Relational Learning

      • Luc De Raedt
      Pages 143-153

    4. Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the ‘Assets’ in Theorem Proving

      • Marta Fraňová, Yves Kodratoff
      Pages 155-173

    5. Logical Aspects of the Measures of Interestingness of Association Rules

      • Jan Rauch
      Pages 175-203

  4. Text and Web Mining

    1. Front Matter

      Pages 205-205
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    2. Clustering the Web 2.0

      • Katharina Morik, Michael Wurst
      Pages 207-223

    3. Induction in Multi-Label Text Classification Domains

      • Miroslav Kubat, Kanoksri Sarinnapakorn, Sareewan Dendamrongvit
      Pages 225-244

    4. Cluster-Lift Method for Mapping Research Activities over a Concept Tree

      • Boris Mirkin, Susana Nascimento, Luís Moniz Pereira
      Pages 245-257

    5. On Concise Representations of Frequent Patterns Admitting Negation

      • Marzena Kryszkiewicz, Henryk Rybiński, Katarzyna Cichoń
      Pages 259-289

  5. Classification and Beyond

    1. Front Matter

      Pages 291-291
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    2. A System to Detect Inconsistencies between a Domain Expert’s Different Perspectives on (Classification) Tasks

      • Derek Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim
      Pages 293-314

    3. The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation

      • Eduardo R. Gomes, Ryszard Kowalczyk
      Pages 315-349
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Keywords

About this book

Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of exp- tise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and excepti- ally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.

Editors and Affiliations

  • Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Jacek Koronacki, Sławomir T. Wierzchoń

  • Woodward Hall 430C, University of North Carolina, Charlotte, USA

    Zbigniew W. Raś

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

    Janusz Kacprzyk

Bibliographic Information

  • Book Title: Advances in Machine Learning II

  • Book Subtitle: Dedicated to the memory of Professor Ryszard S. Michalski

  • Editors: Jacek Koronacki, Zbigniew W. Raś, Sławomir T. Wierzchoń, Janusz Kacprzyk

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-05179-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-05178-4Published: 04 February 2010

  • Softcover ISBN: 978-3-642-26231-9Published: 04 May 2012

  • eBook ISBN: 978-3-642-05179-1Published: 27 November 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIX, 531

  • Topics: Artificial Intelligence, Computational Intelligence

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