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Emerging Intelligent Technologies in Industry

  • Book
  • © 2011

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Editors:
  1. Dominik Ryżko

    1. Institute of Computer Science Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

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  2. Henryk Rybiński

    1. Institute of Computer Science Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

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  3. Piotr Gawrysiak

    1. Institute of Computer Science Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

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  4. Marzena Kryszkiewicz

    1. Institute of Computer Science Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

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  • Latest research devoted to applications of emerging,
  • intelligent technologies in different branches of industry
  • Ranging from new algorithms to architectures and tools with applications in various business sectors
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 369)

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About this book

Intelligent technologies are the essential factors of innovation, and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research results in creating new designs and products. The idea of this book came out with the industrial workshop organized at the ISMIS conference in Warsaw, 2011. The book covers several applications of emerging, intelligent technologies in various branches of the industry. The contributions describe modern intelligent tools, algorithms and architectures, which have the potential to solve real problems, experienced by practitioners in various industry sectors. We hope this volume will show new directions for cooperation between science and industry and will facilitate efficient transfer of knowledge in the area of intelligent information systems.

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Table of contents (27 chapters)

  1. Front Matter

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  2. AI in the Industry

    1. A Genetic Algorithm Approach to Optimization of Vehicular Traffic in Cities by Means of Configuring Traffic Lights

      • Paweł Gora
      Pages 1-10

    2. Towards Understanding Protein-Protein Interactions: The AI Approach

      • Miron B. Kursa, Jacek Jendrej, Julia Herman-Izycka, Witold R. Rudnicki
      Pages 11-20

    3. Integrating Clustering and Classification Techniques: A Case Study for Reservoir Facies Prediction

      • Denis Ferraretti, Evelina Lamma, Giacomo Gamberoni, Michele Febo, Raffaele Di Cuia
      Pages 21-34

    4. A Novel Method Based on Modified Shuffled Frog Leaping Algorithm and Artificial Neural Network for Power System Load Prediction

      • Abdollah Kavousifard, Haidar Samet
      Pages 35-46

    5. Stock Investment Decision Making: A Social Network Approach

      • Negar Koochakzadeh, Fatemeh Keshavarz, Atieh Sarraf, Ali Rahmani, Keivan Kianmehr, Mohammad Rifaie et al.
      Pages 47-57

  3. Modern Intelligent Tools for Software Engineering

    1. An Interactive Tool for Automatic Index Selection in Relational Database Management Systems

      • Piotr Kołaczkowski, Henryk Rybiński
      Pages 59-67

    2. NASA Technology Transfer System

      • David Maluf, Takeshi Okimura, Mohana Gurram
      Pages 69-80

    3. Agent Metamodel for Virtual Reality Applications

      • Ronan Querrec, Cédric Buche, Frédéric Lecorre, Fabrice Harrouet
      Pages 81-90

    4. Porting Graphical User Interfaces through Ontology Alignment

      • Witold Wysota
      Pages 91-104

    5. Querying and Splitting Techniques for SBA: A Model Checking Based Approach

      • Yahia Chabane, François Hantry, Mohand-Saïd Hacid
      Pages 105-122

  4. NLP Tools for Intelligent Systems

    1. Polish-English Word Alignment: Preliminary Study

      • Alina Wróblewska
      Pages 123-132

    2. Concept-Based Topic Model Improvement

      • Claudiu Musat, Julien Velcin, Marian-Andrei Rizoiu, Stefan Trausan-Matu
      Pages 133-142

    3. Automatic Supply of a Medical Knowledge Base Using Linguistic Methods

      • Grażyna Szostek, Marek Jaszuk
      Pages 143-155

    4. “Dynamic” Syntax Model in Automated Language Analysis Systems for Increasing Full-Text Search Systems Efficiency

      • Marcin Karwinski
      Pages 157-166

  5. Data Mining Tools for Advanced Applications

    1. An Algorithm for Parallel Tree-Shaped Bayesian Network Construction

      • Mieczysław A. Kłopotek, Justin Lindsey
      Pages 167-184

    2. Mining Hierarchical Communities from Complex Networks Using Distance-Based Similarity

      • Zhaonan Li, Bo Yang
      Pages 185-196

    3. Architecture of Distributed System for Challenging Data Mining Tasks

      • Maciej Jarka, Roman Podraza
      Pages 197-206

    4. External Validation Measures for Nested Clustering of Text Documents

      • Karol Draszawka, Julian Szymański
      Pages 207-225

    5. Knowledge Trends – Analysis of Data Frames

      • Roman Podraza, Andrzej Żukowski
      Pages 227-235
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Editors and Affiliations

  • Institute of Computer Science Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

    Dominik Ryżko, Henryk Rybiński, Piotr Gawrysiak, Marzena Kryszkiewicz

Bibliographic Information

  • Book Title: Emerging Intelligent Technologies in Industry

  • Editors: Dominik Ryżko, Henryk Rybiński, Piotr Gawrysiak, Marzena Kryszkiewicz

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-22732-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-22731-8Published: 20 August 2011

  • Softcover ISBN: 978-3-642-26979-0Published: 27 November 2013

  • eBook ISBN: 978-3-642-22732-5Published: 31 August 2011

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVI, 344

  • Topics: Computational Intelligence, Artificial Intelligence

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