Big Data Analysis and Deep Learning Applications / Advances in Intelligent Systems and Computing Bd.744 (PDF)
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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.
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.
- 2018, 1st ed. 2019, 386 Seiten, Englisch
- Herausgegeben: Thi Thi Zin, Jerry Chun-Wei Lin
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811308691
- ISBN-13: 9789811308697
- Erscheinungsdatum: 06.06.2018
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- Dateiformat: PDF
- Größe: 53 MB
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