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Advances in Intelligent Information and Database Systems

  • Book
  • © 2010

Overview

Editors:
  1. Ngoc Thanh Nguyen

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

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  2. Radosław Katarzyniak

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

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  3. Shyi-Ming Chen

    1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

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  • Latest research in Intelligent Information and Database Systems
  • Edited outcome of the 2nd Asian Conference on Intelligent Information and Database Systems held in Hue City, Vietnam March 24-26 2010
  • Includes contributions of leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 283)

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Table of contents (32 chapters)

  1. Front Matter

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  2. Information Retrieval and Management

    1. Front Matter

      Pages 1-1
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    2. A Construction of Hierarchical Rough Set Approximations in Information Systems Using Dependency of Attributes

      • Tutut Herawan, Iwan Tri Riyadi Yanto, Mustafa Mat Deris
      Pages 3-15

    3. Percentages of Rows Read by Queries as an Operational Database Quality Indicator

      • PaweÅ‚ Lenkiewicz, Krzysztof Stencel
      Pages 17-27

    4. Question Semantic Analysis in Vietnamese QA System

      • Tuoi T. Phan, Thanh C. Nguyen, Thuy N. T. Huynh
      Pages 29-40

    5. Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search

      • Vuong M. Ngo, Tru H. Cao
      Pages 41-52

    6. Indexing Spatial Objects in Stream Data Warehouse

      • Marcin Gorawski, Rafal Malczok
      Pages 53-65

    7. Real Time Measurement and Visualization of ECG on Mobile Monitoring Stations of Biotelemetric System

      • Ondrej Krejcar, Dalibor Janckulik, Leona Motalova, Karel Musil, Marek Penhaker
      Pages 67-78

    8. A Search Engine Log Analysis of Music-Related Web Searching

      • Sally Jo Cunningham, David Bainbridge
      Pages 79-88

    9. Data Hiding Based on Compressed Dithering Images

      • Cheonshik Kim
      Pages 89-98

    10. Reliable Improvement for Collective Intelligence on Thai Herbal Information

      • Verayuth Lertnattee, Sinthop Chomya, Virach Sornlertlamvanich
      Pages 99-110

    11. Semantic Compression for Specialised Information Retrieval Systems

      • Dariusz Ceglarek, Konstanty Haniewicz, Wojciech Rutkowski
      Pages 111-121

  3. Service Composition and User-Centered Approach

    1. Front Matter

      Pages 123-123
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    2. Service Mining for Composite Service Discovery

      • Min-Feng Wang, Meng-Feng Tsai, Cheng-Hsien Tang, Jia-Ying Hu
      Pages 125-131

    3. An Adaptive Grid-Based Approach to Location Privacy Preservation

      • Anh Tuan Truong, Quynh Chi Truong, Tran Khanh Dang
      Pages 133-144

    4. View Driven Federation of Choreographies

      • Amirreza Tahamtan, Johann Eder
      Pages 145-156

    5. Semantic Battlespace Data Mapping Using Tactical Symbology

      • Mariusz Chmielewski, Andrzej GaÅ‚ka
      Pages 157-168

    6. A Method for Scenario Modification in Intelligent E-Learning Systems Using Graph-Based Structure of Knowledge

      • Adrianna Kozierkiewicz-HetmaÅ„ska, Ngoc Thanh Nguyen
      Pages 169-179

    7. Development of the E-Learning System Supporting Online Education at the Polish-Japanese Institute of Information Technology

      • PaweÅ‚ Lenkiewicz, Lech Banachowski, Jerzy PaweÅ‚ Nowacki
      Pages 181-189

    8. Evolutionally Improved Quality of Intelligent Systems Following Their Users’ Point of View

      • Barbara Begier
      Pages 191-203
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Keywords

About this book

Intelligent information and database systems are two closely related and we- established subfields of modern computer science. They focus on the integration of artificial intelligence and classic database technologies in order to create the class of next generation information systems. The major target of this new gene- tion of systems is to provide end-users with intelligent behavior: simple and/or advanced learning, problem solving, uncertain and certain reasoning, se- organization, cooperation, etc. Such intelligent abilities are implemented in classic information systems to make them autonomous and user oriented, in particular when advanced problems of multimedia information and knowledge discovery, access, retrieval and manipulation are to be solved in the context of large, distr- uted and heterogeneous environments. It means that intelligent knowledge-based information and database systems are used to solve basic problems of large coll- tions management, carry out knowledge discovery from large data collections, reason about information under uncertain conditions, support users in their for- lation of complex queries etc. Topics discussed in this volume include but are not limited to the foundations and principles of data, information, and knowledge models, methodologies for intelligent information and database systems analysis, design, implementation, validation, maintenance and evolution.

Editors and Affiliations

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

    Ngoc Thanh Nguyen, Radosław Katarzyniak

  • Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

Bibliographic Information

  • Book Title: Advances in Intelligent Information and Database Systems

  • Editors: Ngoc Thanh Nguyen, RadosÅ‚aw Katarzyniak, Shyi-Ming Chen

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-12090-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-12089-3Published: 09 April 2010

  • Softcover ISBN: 978-3-642-26277-7Published: 04 May 2012

  • eBook ISBN: 978-3-642-12090-9Published: 16 March 2010

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 384

  • Number of Illustrations: 131 b/w illustrations

  • Topics: Artificial Intelligence, Data Structures and Information Theory, Computational Intelligence

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