Editors:
- Recent research in soft computing in big-data processing
- Scientific outcome of the 14th International Symposium on Advanced Intelligent Systems (ISIS2013), held on November 13 - 16, 2013 at PaiChai University in Daejeon, Korea focusing on Soft Computing in Big Data Processing
- Written by experts in the field
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 271)
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Table of contents (11 papers)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Chungbuk National University, Cheongju, Korea, Republic of (South Korea)
Keon Myung Lee
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3124B Patrick Taylor Hall, Louisiana State University, Louisiana, USA
Seung-Jong Park
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Jangan-gu, Suwon-si, Sungkyunkwan University, Gyeonggi-do, Korea, Republic of (South Korea)
Jee-Hyong Lee
Bibliographic Information
Book Title: Soft Computing in Big Data Processing
Editors: Keon Myung Lee, Seung-Jong Park, Jee-Hyong Lee
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-05527-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-05526-8Published: 18 March 2014
eBook ISBN: 978-3-319-05527-5Published: 08 July 2014
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: X, 111
Number of Illustrations: 44 b/w illustrations