Soft Computing in Big Data Processing

  • Keon Myung Lee
  • Seung-Jong Park
  • Jee-Hyong Lee

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 271)

Table of contents

  1. Front Matter
    Pages 1-9
  2. Kwang-Yong Kim, Il-Gu Jung, Won Ryu
    Pages 11-18
  3. Yutaka Hatakeyama, Shinichi Yoshida, Hiromi Kataoka, Yoshiyasu Okuhara
    Pages 29-38
  4. Kohei Takahashi, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura
    Pages 39-49
  5. Shintaro Yamamoto, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura
    Pages 51-60
  6. Jongchan Kim, Dohan Choe, Gabjo Kim, Sangsung Park, Dongsik Jang
    Pages 61-69
  7. Gabjo Kim, Sangsung Park, Dongsik Jang
    Pages 71-80
  8. Joonhyuck Lee, Gabjo Kim, Dongsik Jang, Sangsung Park
    Pages 81-90
  9. Back Matter
    Pages 111-111

About these proceedings

Introduction

Big data is an essential key to build a smart world as a meaning of the streaming, continuous integration of large volume and high velocity data covering from all sources to final destinations. The big data range from data mining, data analysis and decision making, by drawing statistical rules and mathematical patterns through systematical or automatically reasoning. The big data helps serve our life better, clarify our future and deliver greater value. We can discover how to capture and analyze data. Readers will be guided to processing system integrity and implementing intelligent systems. With intelligent systems, we deal with the fundamental data management and visualization challenges in effective management of dynamic and large-scale data, and efficient processing of real-time and spatio-temporal data. Advanced intelligent systems have led to managing the data monitoring, data processing and decision-making in realistic and effective way. Considering a big size of data, variety of data and frequent changes of data, the intelligent systems basically challenge new data management tasks for integration, visualization, querying and analysis. Connected with powerful data analysis, the intelligent systems will provide a paradigm shift from conventional store and process systems. This book focuses on taking a full advantage of big data and intelligent systems processing. It consists of 11 contributions that feature extraction of minority opinion, method for reusing an application, assessment of scientific and innovative projects, multi-voxel pattern analysis, exploiting No-SQL DB, materialized view, TF-IDF criterion, latent Dirichlet allocation, technology forecasting, small world network, and classification & regression tree structure. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and authorization. 

Keywords

Big Data Processing ISIS2013 Intelligent Systems Soft Computing Symposium on Advanced Intelligent Systems

Editors and affiliations

  • Keon Myung Lee
    • 1
  • Seung-Jong Park
    • 2
  • Jee-Hyong Lee
    • 3
  1. 1.Chungbuk National UniversityCheongjuKorea, Republic of (South Korea)
  2. 2.3124B Patrick Taylor HallLouisiana State UniversityLouisianaUSA
  3. 3.Jangan-gu, Suwon-siSungkyunkwan UniversityGyeonggi-doKorea, Republic of (South Korea)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05527-5
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05526-8
  • Online ISBN 978-3-319-05527-5
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book
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