Big Data Workshop
Scope
ICSINC Big Data Workshop 2020 Spring 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 2020 Spring Template). Papers can be submitted via EasyChair: https://easychair.org/conferences/?conf=icsinc2020spring
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 2015-2019 have been indexed in EI.
Important Dates
Paper submission deadline: 16 May 2020 (Hard Deadline)
Author notification: Coming soon
Camera-ready: 30 May 2020
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 planning and optimization
- Big Data assisted telecom operation
- Big Data on Massive MIMO in 5G/B5G
- Big Data on Cloud 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
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
- Big Data on smart mobility
- Big Data on water environment
- Big Data on travel,advertisement,medical treatment
- Data analysis on railway scenario
- Big Data relevant standardization
For more imformation about topics, please download.pdf version of CFP
Committee
International Steering Committee
- Changbo Zhu, China Unicom
- Haibin Li, China Unicom
- Hengde Zhang, National Meteorological Center of CMA
General Chair
- Xinzhou Cheng, China Unicom
- Lexi Xu, China Unicom
- Mingxing Li, China Unicom
- Shaoshi Yang, BUPT
- Tianhao Guo, Shanxi University
- Huanlai Xing, SWJTU
- Xin Hu, BUPT
- Shuaijun Liu, ISCAS
- Gaofeng Cui, BUPT
- Chen Sun, NHU
- Rui Zhao, National Meteorological Center of CMA
Track Origanizer
- Kun Chao, China Unicom
- Cong Hua, National Meteorological Center of CMA
- Jian Guan, China Unicom
- Jie Gao, China Unicom
- Yuwei Jia, China Unicom
Secretary
- Chen Cheng, China Unicom