Big Data Workshop
Scope
ICSINC Big Data Workshop 2019 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 2019 Fall Template).Papers can be submitted via EasyChair: https://easychair.org/conferences/?conf=icsinc2019spring
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 2015-2017 have been indexed in EI.
Important Dates
Paper submission deadline: 6 MAY 2019 (Hard Deadline)
Author notification: 31 MAY 2019
Camera-ready: 14 JUNE 2019
Topics
Track1: Big Data Science and Data Center
- Big Data system architecture (Hadoop/Spark/Flink etc.)
- Big Data system performance analysis
- Machine learning algorithm
- Data mining, data quality, data visualization
- Data Center operation and optimization
Track2: Big Data R&A on Telecom Industry
- Big Data based network planning and optimization
- Big Data analysis of users (user group/behavior/track etc.)
- Big Data assisted telecom operation
- Big Data analysis of mobile terminals
- Big Data analysis of network quality & performance
- End-to-End Voice & Data service optimization
- Resource allocation and optimization
- Load control and optimization
Track3: 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
- Block chain relevant issues
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
- Yanli Yu, China Railway
- Huanlai Xing, SWJTU
General Chair
- Xinzhou Cheng, China Unicom
- Lexi Xu, China Unicom
- Rui Zhao, National Meteorological Center of CMA
- Liang Zhao, SAU
- Yue Cao, Lancaster University
- Yansha Deng, King’s College London
TPC Chair/Track Origanizer
- Kun Chao, China Unicom
- Cong Hua, National Meteorological Center of CMA
- Heng Zhang, China Unicom
- Jie Gao, China Unicom
Secretary
- Yuhui Han, China Unicom
- Yuwei Jia, China Unicom
- Haina Ye, China Unicom