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New Challenges for Intelligent Information and Database Systems

  • Book
  • © 2011

Overview

Editors:
  1. Ngoc Thanh Nguyen

    1. Institute of Informatics , Wrocław University of Technology, Wrocław, Poland

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  2. Bogdan Trawiński

    1. Institute of Informatics , Wroclaw University of Technology, Wrocław, Poland

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  3. Jason J. Jung

    1. Department of Computer Engineering , Yeungnam University, Gyeungsan, Korea

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  • State-of-the-Art in Intelligent Information and Database Systems
  • Presents new challenges and recent research
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 351)

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Table of contents (35 chapters)

  1. Front Matter

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  2. Information Retrieval and Management

    1. Front Matter

      Pages 1-1
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    2. Algorithm to Determine Longest Common Subsequences of Two Finite Languages

      • Dang Quyet Thang
      Pages 3-12

    3. Detecting changes in Stream Query Results

      • Majid Ghayoori, Khosro Salmani, Mostafa S. Haghjoo
      Pages 13-24

    4. An Efficient Parallel Algorithm for the Set Partition Problem

      • Hoang Chi Thanh, Nguyen Quang Thanh
      Pages 25-32

    5. Fuzzy Ontology Integration Using Consensus to Solve Conflicts on Concept Level

      • Trong Hai Duong, Ngoc Thanh Nguyen, Adrianna Kozierkiewicz-Hetmańska, Geun Sik Jo
      Pages 33-42

    6. Improving Availability in Distributed Component-Based Systems via Replication

      • Samih Al-Areqi, Amjad Hudaib, Nadim Obeid
      Pages 43-52

    7. OPLSW: A New System for Ontology Parable Learning in Semantic Web

      • Navid Kabiri, Nasser Modiri, NoorAldeen Mirzaee
      Pages 53-61

    8. A Study on Vietnamese Prosody

      • Tang-Ho Lê, Anh-Viêt Nguyen, Hao Vinh Truong, Hien Van Bui, Dung Lê
      Pages 63-73

    9. Towards Knowledge Acquisition with WiSENet

      • Dariusz Ceglarek, Konstanty Haniewicz, Wojciech Rutkowski
      Pages 75-84

  3. Data Mining and Computational Intelligence

    1. Front Matter

      Pages 85-85
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    2. An Approximation Approach for a Real–World Variant of Vehicle Routing Problem

      • Khoa Trinh, Nguyen Dang, Tien Dinh
      Pages 87-96

    3. CBN: Combining Cognitive Map and General Bayesian Network to Predict Cost of Software Maintenance Effort

      • Kun Chang Lee, Nam Yong Jo
      Pages 97-106

    4. A Central Leader Election Method Using the Distance Matrix in Ad Hoc Networks

      • Mary Wu, SeongGwon Cheon, ChongGun Kim
      Pages 107-116

    5. Facial Soft Tissue Thicknesses Prediction Using Anthropometric Distances

      • Quang Huy Dinh, Thi Chau Ma, The Duy Bui, Trong Toan Nguyen, Dinh Tu Nguyen
      Pages 117-126

    6. Intelligence Trading System for Thai Stock Index

      • Monruthai Radeerom, Hataitep Wongsuwarn, M. L. Kulthon Kasemsan
      Pages 127-136

    7. Mining for Mining — Application of Data Mining Tools for Coal Postprocessing Modelling

      • Marcin Michalak, Sebastian Iwaszenko, Krzysztof Wierzchowski
      Pages 137-146

    8. Mining Sequential Rules Based on Prefix-Tree

      • Thien-Trang Van, Bay Vo, Bac Le
      Pages 147-156

    9. A Modified Fuzzy Possibilistic C-means for Context Data Clustering toward Efficient Context Prediction

      • Mohamed Fadhel Saad, Mohamed Salah, Jongyoun Lee, Ohbyung Kwon
      Pages 157-165

    10. A New Model of Particle Swarm Optimization for Model Selection of Support Vector Machine

      • Dang Huu Nghi, Luong Chi Mai
      Pages 167-173
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Keywords

About this book

The book consists of 35 extended chapters which have been based on selected submissions to the poster session organized during the 3rd Asian Conference on Intelligent Information and Database Systems (20-22 April 2011 in Daegu, Korea). The book is organized into four parts, which are information retrieval and management, data mining and computational intelligence, service composition and user-centered approach, and intelligent management and e-business, respectively. All chapters in the book discuss theoretical and practical issues related to integration of artificial intelligence and database technologies in order to develop various intelligent information systems in many different domains. Such combination of artificial intelligence and database technologies has been regarded as one of the important interdisciplinary subfields of modern computer science, due to the sustainable development of networked information systems. Especially, service-oriented architecture and global multimedia systems used on a number of different purpose call for these developments. The book will be of interest to postgraduate students, professors and practitioners in the areas of artificial intelligence and database systems to modern information environments. The editors hope that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.

Editors and Affiliations

  • Institute of Informatics , Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  • Institute of Informatics , Wroclaw University of Technology, Wrocław, Poland

    Bogdan Trawiński

  • Department of Computer Engineering , Yeungnam University, Gyeungsan, Korea

    Jason J. Jung

Bibliographic Information

  • Book Title: New Challenges for Intelligent Information and Database Systems

  • Editors: Ngoc Thanh Nguyen, Bogdan Trawiński, Jason J. Jung

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-19953-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-19952-3Published: 18 May 2011

  • Softcover ISBN: 978-3-642-26779-6Published: 29 May 2013

  • eBook ISBN: 978-3-642-19953-0Published: 17 March 2011

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 366

  • Topics: Computational Intelligence, Artificial Intelligence

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