The 1st International Workshop on Spatio-Temporal Big Data Management (STBDM 2024)

Brief description:

The rapid growth of mobile Internet has led to a vast amount of spatio-temporal data, which holds valuable information for traffic control, route planning, urban planning, and various intelligent applications. Managing spatio-temporal big data has become a major concern in the fields of database, artificial intelligence, and data mining. This workshop aims to tackle the challenges associated with efficiently managing spatio-temporal big data.

The workshop topics include, but are not limited to:

• Parallel and distributed algorithm for spatio-temporal big data
• Data stream algorithm for spatio-temporal big data
• Data quality management for spatio-temporal big data
• Indexing, optimization and query processing for spatial data and trajectory data
• Spatio-temporal prediction and inference
• Spatio-temporal big data analytics and mining methodologies
• Spatial and temporal related recommendation systems
• Spatio-temporal big data in information retrieval and extraction
• Probabilistic, fuzzy, and uncertain spatio-temporal big data management
• Spatio-temporal big data in Sensor Networks and CPS
• Spatio-temporal big data in Information Integration
• Crowdsourcing for spatio-temporal big data
• Applications for spatio-temporal big data management

Paper Submission Guidelines:

All papers should be submitted at https://easychair.org/conferences/?conf=stbdm2024
should not exceed 12 pages single spacing in:LNCS (Lecture Notes in Computer Science) format.
The submission of papers must be in either PDF or Word format. The usage of non-English fonts is not allowed. All papers accepted by STBDM2024 will be published in a combined volume of Lecture Notes in Computer Science series published by Springer. You may download the formats by the following links:

LaTex2e Format:DOWNLOAD
MS Word Format:DOWNLOAD

All accepted papers MUST strictly follow the LNCS/LNAI Authors instructions.

Important Dates

Organizers

• Workshop Co-Chairs
  
  • Kaiqi Zhang, Harbin Institute of Technology, China
  • Tuo Shi, City University of Hongkong, China
  • Zemin Chao, Harbin Institute of Technology, China
• Program Committee Members
  
  • Chengliang Chai, Beijing Institute of Technology, China
  • Quan Chen, Guangdong University of Technology, China
  • Faming Li, Northeastern University, China
  • Lei Li, Hong Kong University of Science and Technology, China
  • Jinfei Liu, Zhejiang University, China
  • Xueli Liu, Tianjin University, China
  • Yajun Yang, Tianjin University, China
  • Ge Yu, Northeastern University, China
  • Anzhen Zhang, Shenyang Aerospace University, China
  • Tongxin Zhu, Southeast University, China
  • Zhaonian Zou, Harbin Institute of Technology, China