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Advances in Intelligent Systems and Computing

Big Data Analysis and Deep Learning Applications

Proceedings of the First International Conference on Big Data Analysis and Deep Learning

Editors: Zin, Thi Thi, Lin, Jerry Chun-Wei (Eds.)

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  • Gathers selected papers presenting cutting-edge findings in the fields of big data analysis, machine learning, and system monitoring 
  • Brings together new techniques and systems proposed by prominent researchers, scholars, and practitioners 
  • Provides applicable big data methods and deep learning theories, and discusses their use in real-world situations 
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eBook $169.00
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  • ISBN 978-981-13-0869-7
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  • Immediate eBook download after purchase
Softcover $219.99
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  • ISBN 978-981-13-0868-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities. 

About the authors

Thi Thi Zin received her Ph.D. degree in the field of Image Processing in 2007 from Osaka City University, Japan. From 2007 to 2009, she was awarded a postdoctoral research fellowship of Japan Society for the Promotion of Science (JSPS). After the JSPS, she worked as a specially appointed researcher and specially appointed assistant professor at the University of Tokyo and Osaka City University until 2013. In 2016, she became a professor at the Faculty of Engineering, University of Miyazaki, Japan. Her research interests include human behavior understanding, intelligent transportation systems, cow behavior analysis, health care monitoring systems, and image recognition. She is a member of IEEE.

Jerry Chun-Wei Lin is currently an associate professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), China. He has published more than 200 research papers (90 SCI papers) and international conferences. His research interests include data mining, soft computing, artificial intelligence, social computing, multimedia and image processing, and privacy-preserving and security technologies. He is the Editor-in-Chief of the journal Data Science and Pattern Recognition (DSPR), associate editor of Journal of Network Intelligence, associate editor of Journal of Internet Technology (JIT), and the editorial board member of Intelligent Data Analysis (IDA). He is also the leader of SPMF project, which provides more than 130 data mining algorithms and has been widely cited in many different applications.

Table of contents (42 chapters)

Table of contents (42 chapters)
  • Data-Driven Constrained Evolutionary Scheme for Predicting Price of Individual Stock in Dynamic Market Environment

    Pages 3-8

    Tang, Henry S. Y. (et al.)

  • Predictive Big Data Analytics Using Multiple Linear Regression Model

    Pages 9-19

    Khine, Kyi Lai Lai (et al.)

  • Evaluation for Teacher’s Ability and Forecasting Student’s Career Based on Big Data

    Pages 20-27

    Moe, Zun Hlaing (et al.)

  • Tweets Sentiment Analysis for Healthcare on Big Data Processing and IoT Architecture Using Maximum Entropy Classifier

    Pages 28-38

    Htet, Hein (et al.)

  • A Survey on Influence and Information Diffusion in Twitter Using Big Data Analytics

    Pages 39-47

    El Bacha, Radia (et al.)

Buy this book

eBook $169.00
price for Mexico (gross)
  • ISBN 978-981-13-0869-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $219.99
price for Mexico
  • ISBN 978-981-13-0868-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Big Data Analysis and Deep Learning Applications
Book Subtitle
Proceedings of the First International Conference on Big Data Analysis and Deep Learning
Editors
  • Thi Thi Zin
  • Jerry Chun-Wei Lin
Series Title
Advances in Intelligent Systems and Computing
Series Volume
744
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-0869-7
DOI
10.1007/978-981-13-0869-7
Softcover ISBN
978-981-13-0868-0
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XIV, 386
Number of Illustrations
190 b/w illustrations
Topics