Big Data Workshop
Scope
ICSINC Big Data Workshop 2025 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.
Submissions
所有提交的文件必须通过电子邮件提交，只有PDF文件才能提交审查过程。论文应以英文书写，最大打印页数为八页，包括数字，且不收取额外的页面费用。提交的论文必须是原创作品，不得考虑再次发表。所有手稿在被接受发表在会议记录中之前，将根据标准程序进行同行评审。论文通过电子邮件提交到
:
icsinc@163.com.
请将邮件命名为【ICSINC2025-文章题目】并附上：
1，提交文章的PDF
2，提交信息EXCEL（在压缩包中的文件名为：ICSINC-submission information）
所需的模板可以在从以下链接下载的压缩包中找到.
提交的论文必须遵循格式指南 (see ICSINC 2025 Template).
All accepted papers will be published in the conference proceedings by
Springer LNEE. Papers included in the proceedings will be submitted for EI indexing.
All papers of Past Big Data Workshop 2015-2023 have been indexed in EI.
Submission deadline: 3 June 2024
Author notification: 30 July 2024
Camera-ready: 15 August 2024
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
- OpenAI, AIGC application
- Big Data relevant standardization
For more imformation about topics, please download.pdf version of CFP