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  • © 2018

Modern Approaches for Intelligent Information and Database Systems

  • Includes recent research on Intelligent Information and Database Systems
  • Presents modern approaches and applications
  • Written by respected experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 769)

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Table of contents (46 chapters)

  1. Front Matter

    Pages i-xiii
  2. Knowledge Engineering and Semantic Web

    1. Front Matter

      Pages 1-1
    2. A Three-Stage Consensus-Based Method for Collective Knowledge Determination

      • Dai Tho Dang, Van Du Nguyen, Ngoc Thanh Nguyen, Dosam Hwang
      Pages 3-14
    3. Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic

      • Xuan Hung Quach, Thi Lan Giao Hoang
      Pages 15-26
    4. An Approach for Recommending Group Experts on Question and Answering Sites

      • Dinh Tuyen Hoang, Ngoc Thanh Nguyen, Huyen Trang Phan, Dosam Hwang
      Pages 27-37
    5. A Method for Uncertainty Elicitation of Experts Using Belief Function

      • Tuan Nha Hoang, Tien Tuan Dao, Marie-Christine Ho Ba Tho
      Pages 39-49
    6. Storing Hypergraph-Based Data Models in Non-hypergraph Data Storage

      • András Béleczki, Bálint Molnár, Bence Sarkadi-Nagy
      Pages 51-59
  3. Natural Language Processing and Text Mining

    1. Front Matter

      Pages 61-61
    2. A Fuzzy Logic Approach to Predict the Popularity of a Presidential Candidate

      • Pritom Mazumder, Navid Anjum Chowdhury, Moh. Anwar-Ul-Azim Bhuiya, Shabbir Haque Akash, Rashedur M. Rahman
      Pages 63-74
    3. Tweet Integration by Finding the Shortest Paths on a Word Graph

      • Huyen Trang Phan, Dinh Tuyen Hoang, Ngoc Thanh Nguyen, Dosam Hwang
      Pages 87-97
    4. Event Detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data

      • Musa Ibarhim M. Ishag, Kwang Sun Ryu, Jong Yun Lee, Keun Ho Ryu
      Pages 99-112
    5. A Novel Method to Predict Type for DBpedia Entity

      • Thi-Nhu Nguyen, Hideaki Takeda, Khai Nguyen, Ryutaro Ichise, Tuan-Dung Cao
      Pages 125-134
  4. Machine Learning and Data Mining

    1. Front Matter

      Pages 147-147
    2. Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data

      • Ariyawat Chonbodeechalermroong, Chotirat Ann Ratanamahatana
      Pages 149-160
    3. Perceiving Attributes of Game AI Using Fuzzy Logic

      • Saadman Shahid Chowdhury, Ruhul Mashbu, Ariq Ahnaf Shaan, Kazi Al Ashfaq, Fazal Mahmud Niloy, Rashedur M. Rahman
      Pages 161-172
    4. Approaches to Building a Detection Model for Water Quality: A Case Study

      • Fitore Muharemi, Doina Logofătu, Christina Andersson, Florin Leon
      Pages 173-183
    5. A Deep Learning Approach to Case Based Reasoning to the Evaluation and Diagnosis of Cervical Carcinoma

      • José Neves, Henrique Vicente, Filipa Ferraz, Ana Catarina Leite, Ana Rita Rodrigues, Manuela Cruz et al.
      Pages 185-197

About this book

This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems, Internet of things (IoT), computer vision, and tools and techniques for Intelligent Information Systems. They are extended versions of papers presented at the ACIIDS 2018 conference (10th Asian Conference on Intelligent Information and Database Systems), which was held in Dong Hoi City, Vietnam on 19–21 March 2018. What all researchers and students of computer science need is a state-of-the-art report on the latest trends in their respective areas of interest. Over the years, researchers have proposed increasingly complex theoretical models, which provide the theoretical basis for numerous applications. The applications, in turn, have a profound influence on virtually every aspect of human activities, while also allowing us to validate the underlying theoretical concepts.

Editors and Affiliations

  • Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Sieminski, Adrianna Kozierkiewicz

  • Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain

    Manuel Nunez

  • Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang Thuy Ha

Bibliographic Information

  • Book Title: Modern Approaches for Intelligent Information and Database Systems

  • Editors: Andrzej Sieminski, Adrianna Kozierkiewicz, Manuel Nunez, Quang Thuy Ha

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-76081-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-76080-3Published: 06 March 2018

  • Softcover ISBN: 978-3-030-09398-3Published: 12 January 2019

  • eBook ISBN: 978-3-319-76081-0Published: 23 February 2018

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIII, 541

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access