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Soft Computing for Business Intelligence

  • Book
  • © 2014

Overview

Editors:
  1. Rafael Espin

    1. Centro de Estudios de Técnicas de Dirección, Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

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  2. Rafael Bello Pérez

    1. Centro de Estudios de Informática Carretera a Camajuani, Universidad Central Marta Abreu de Las Villas, Santa Clara, Cuba

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  3. Angel Cobo

    1. Department of Applied Mathematics and Computer Science, Universidad de Cantabria, Santander, Spain

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  4. Jorge Marx

    1. Department für Informatik, Carl Von Ossietzky Universität Oldenburg, Oldenburg, Germany

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  5. Ariel Racet Valdés

    1. Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

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  • Latest research on Soft Computing in Business Intelligence
  • Results of an initiative of the Iberian American Network of Knowledge Discovery Eureka Iberoamerica
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 537)

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Table of contents (27 chapters)

  1. Front Matter

    Pages 1-11
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  2. Soft Computing

    1. Front Matter

      Pages 1-1
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    2. Compensatory Fuzzy Logic: A Frame for Reasoning and Modeling Preference Knowledge in Intelligent Systems

      • Rafael Alejandro Espín Andrade, Eduardo Fernández, Erick González
      Pages 3-23

    3. Compensatory Fuzzy Logic Inference

      • Rafael Alejandro Espín Andrade, Erick González, Eduardo Fernández, Marlies Martinez Alonso
      Pages 25-43

    4. A Fuzzy Approach to Prospect Theory

      • Rafael Alejandro Espín Andrade, Erick González, Eduardo Fernández, Salvador Muñoz Gutiérrez
      Pages 45-66

    5. Probabilistic Approaches to the Rough Set Theory and Their Applications in Decision-Making

      • Rafael Bello Pérez, Maria M. Garcia
      Pages 67-80

    6. New Rough Sets by Influence Zones Morphological Concept

      • Juan I. Pastore, Agustina Bouchet, Virginia L. Ballarin
      Pages 81-96

  3. Business Intelligence and Knowledge Discovery

    1. Front Matter

      Pages 97-97
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    2. Fuzzy Tree Studio: A Tool for the Design of the Scorecard for the Management of Protected Areas

      • Gustavo J. Meschino, Marcela Nabte, Sebastián Gesualdo, Adrián Monjeau, Lucía I. Passoni
      Pages 99-112

    3. Framework for the Alignment of Business Goals with Technological Infrastructure

      • Roberto Pérez López de Castro, Pablo M. Marin Ortega, Patricia Pérez Lorences
      Pages 113-123

    4. Time Series Classification with Motifs and Characteristics

      • André Gustavo Maletzke, Huei Diana Lee, Gustavo Enrique, Almeida Prado Alves Batista, Cláudio Saddy Rodrigues Coy, João José Fagundes et al.
      Pages 125-138

    5. Solving Regression Analysis by Fuzzy Quadratic Programming

      • Ricardo Coelho Silva, Carlos Cruz Corona, José Luis Verdegay Galdeano
      Pages 139-147

    6. Business Intelligence Taxonomy

      • Pablo M. Marin Ortega, Lourdes García Ávila, Jorge Marx Gómez
      Pages 149-159

    7. Discovering Knowledge by Fuzzy Predicates in Compensatory Fuzzy Logic Using Metaheuristic Algorithms

      • Marlies Martínez Alonso, Rafael Alejandro Espín Andrade, Vivian López Batista, Alejandro Rosete Suárez
      Pages 161-174

    8. Categorization of Unlabelled Customer-Related Data Using Methods from Compensatory Fuzzy Logic

      • Sven Kölpin, Daniel Stamer
      Pages 175-185

    9. Knowledge Discovery by Fuzzy Predicates

      • Taymi Ceruto Cordovés, Alejandro Rosete Suárez, Rafael Alejandro Espín Andrade
      Pages 187-196

    10. Innovative Wind Farm Control

      • Mischa Böhm, Oliver Norkus, Deyan Stoyanov
      Pages 197-210

    11. A Tool for Data Mining in the Efficient Portfolio Management

      • Vivian F. López, Noel Alonso, María N. Moreno, Gabriel V. González
      Pages 211-224

    12. Educational Data Mining: User Categorization in Virtual Learning Environments

      • Angel Cobo Ortega, Rocío Rocha Blanco, Yurlenis Álvarez Diaz
      Pages 225-237

  4. Knowledge Management and Decision Making

    1. Front Matter

      Pages 239-239
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Keywords

About this book

The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.

It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other soft computing elements.

The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.

Editors and Affiliations

  • Centro de Estudios de Técnicas de Dirección, Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

    Rafael Espin

  • Centro de Estudios de Informática Carretera a Camajuani, Universidad Central Marta Abreu de Las Villas, Santa Clara, Cuba

    Rafael Bello Pérez

  • Department of Applied Mathematics and Computer Science, Universidad de Cantabria, Santander, Spain

    Angel Cobo

  • Department für Informatik, Carl Von Ossietzky Universität Oldenburg, Oldenburg, Germany

    Jorge Marx

  • Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

    Ariel Racet Valdés

Bibliographic Information

  • Book Title: Soft Computing for Business Intelligence

  • Editors: Rafael Espin, Rafael Bello Pérez, Angel Cobo, Jorge Marx, Ariel Racet Valdés

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-53737-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-53736-3Published: 16 January 2014

  • Softcover ISBN: 978-3-662-50903-6Published: 27 August 2016

  • eBook ISBN: 978-3-642-53737-0Published: 30 December 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 432

  • Number of Illustrations: 91 b/w illustrations, 4 illustrations in colour

  • Topics: Computational Intelligence, IT in Business

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