Big Data Analysis and Deep Learning Applications : Proceedings of the First International Conference on Big Data Analysis and Deep Learning
Language: English
Published by Springer, 2018
Series: Book 175 of 540 - Advances in Intelligent Systems and Computing
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 237.25
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9789811308680
- Title
- Big Data Analysis and Deep Learning Applications : Proceedings of the First International Conference on Big Data Analysis and Deep Learning
- Author
- Thi Thi Zin
- Publisher
- Springer
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9811308683
- ISBN 13
- 9789811308680
- Item weight
- 604 grams
- Dimensions
- 235x155x22 mm
- Series
- Book 175 of 540: Advances in Intelligent Systems and Computing
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.
"Synopsis" may belong to another edition of this title.
About the Author
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."About the title" may belong to another edition of this title.
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