Big Data Workshop
Scope
ICSINC Big Data Workshop 2021 promotes the in-depth exploration of the most recent theory, applications, and development findings of big data and machine learning. This workshop welcomes the participation of the industry to showcase and commercialize their relevant technology and application as well as platform. Scientists, engineers, and students are encouraged to get involved.
Submission
Papers should be written in English with a maximum paper length of eight (8) printed pages including figures without incurring additional page charges. Submitted papers must be original work, and may not be under consideration for another publication.
All manuscripts will be peer reviewed according to standard procedures before being accepted for publication in the conference proceedings. Papers can be rejected if the quality of science and/or language is insufficient and there will be a strict and critical review process in place.
The paper submissions must follow the formatting guidelines (see ICSINC 2021 Spring Template). Papers can be submitted via EasyChair: https://easychair.org/conferences/?conf=icsinc2021
NOTE: Please add the following sentence “(submitted to Telecom Big Data Workshop)” in the ABSTRACT tail on EasyChair paper registration page. For the PDF full text version, there is no need for any change.
Publication
All accepted papers will be published in the conference proceedings by Springer LNEE. Papers included in the proceedings will be submitted for EI indexing. Selected accepted papers will be submitted for SCI indexing. All papers of Past Big Data Workshop 2015-2020 have been indexed in EI.
Important Dates
Paper submission deadline: 10 May 2021 (Hard Deadline)
Author notification: 30 June 2021
Camera-ready: 22 July 2021
Topics
Track1: Big Data Science and Block Chain
- Deep reinforcement learning technique and application
- Big Data system architecture(Hadoop/Spark/MPP etc.)
- Big Data system performance analysis
- Data mining, data quality, data visualization
- Block chain technique and application
Track2: Big Data R&A on Telecom Industry
- ?Big Data based network operation and optimization
- Big Data assisted telecom operation
- Big Data on Massive MIMO in 5G/6G
- Big Data on Cloud AR/VR
- Big Data analysis of users analysis
- Big Data analysis of network quality & performance
- End-to-End Voice & Data service optimization
- Resource allocation and management in LTE/5G/6G
Track3: Big Data R&A on Meteorology Industry
- Big Data on weather forecasting:Applications and challenges
- Big Data on air quality forecast and early warning
- Machine learning in meteorological field
- Smart grid prediction technology
- Meteorology big data and relevant industries
Track4: Big Data R&A on Relevant Industries
- Big Data on finance,business models,marketing strategy
- Big Data on transportation, smart city, smart mobility
- Big Data on vehicle network and electrified vehicles
- Big Data on water environment
- Big Data on travel,advertisement,medical treatment
- Big Data on satellite network and IoT
- Data analysis on railway scenario
- Big Data relevant standardization
For more imformation about topics, please download.pdf version of CFP
Committee
International Steering Committee
- Yongsheng Chi, China Unicom
- Xiongyan Tang, China Unicom
- Hengde Zhang, NMC of CMA
- Rui Zhao, NMC of CMA
- Yao Chen, UESTC
General Chair
- Xinzhou Cheng, China Unicom
- Lexi Xu, China Unicom
- Feng Yin, CUHKSZ
- Gaofeng Cui, BUPT
- Xin Hu, BUPT
- Chaowei Wang, BUPT
- Lianbo Song, CAICT
- Wenwen Zhou, Alibaba Cloud, China
- Xu Xia, China Telecom, China
- Tianhao Guo, Shanxi University
- Xiting Peng, Shenyang University of Technology
- Jingjing Zhong, Helpling Singapore
- Yu Liu, Amazon USA
Track Origanizer
- Kun Chao, China Unicom
- Jian Guan, China Unicom
- Jie Gao, China Unicom
- Yuwei Jia, China Unicom
Secretary
- Chen Cheng, China Unicom
- Xin He, China Unicom