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
All submissions must be received through Email and only PDF files will be submitted for the review process. Papers should be written in English with a maximum paper length of eight 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 submitted via Email:icsinc@163.com.
Please name the email as【ICSINC2025-文章题目】and add attach：
1，submission's PDF
2，submission's information EXCEL（The name in the compressed package is：ICSINC-submission information）
The required templates for attachments can be found in the compressed package downloaded from the following link.
The paper submissions must follow the formatting guidelines (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 2025
Author notification: 11 July 2025
Camera-ready: 31 July 2025
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