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2nd Cross Domain Fusion for Mobile Data Workshop at the 26th IEEE International Conference on Mobile Data Management
June 2nd - June 5th
Irvine, USA
Submission Deadline: March 20, 2025 (Limit: 6 Pages)
More Details and Submission Link: https://cdf4md.github.io/
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Scope:
Mobile data management deals with diverse data coming from dynamic and potentially heterogeneous data sources. Mobile systems produce myriads of data, including such of different modalities, types, or at different processing stages, summarized by the term domain. With emerging modern technologies, such as Internet-of-Things, these systems and their data get more complex with each day to come. State-of-the-Art (SOTA) methods typically only allow to analyze data sets within a single domain. We are missing data analysis techniques that are designed for fusing multiple pieces from different (scientific) domains to gain a more holistic knowledge of complex systems. It is imperative that such explorative data analysis methods are developed to enable domain experts to effectively leverage this holistic knowledge.
This workshop introduces cross-domain fusion (CDF) as an emerging topic to mobile data management. CDF involves identifying patterns, trends, and anomalies in spatio-temporal data, including sensor measurements, satellite imagery, or data generated by scientific models with spatio-temporal context. This offers insights into the underlying processes and mechanisms governing the system under investigation. CDF addresses the key aspects of fusing multiple views from different domains using exploratory data analysis to identify patterns, trends, and anomalies among arbitrary views enabling, for instance, the construction of spatio-temporal digital twin worlds.
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Topics:
· Fusion and analysis methods for multimodal data
· Fusion and analysis methods for multiformat data
· Distributed and parallel cross domain fusion
· Fusion of raw data with data models
· Online (Edge/Fog/Cloud) processing of multisource data
· Resource-limited processing of multisource data
· Domain fusion in distributed and parallel data collections
· Applications of cross domain fusion
· Methods for combining data with background knowledge
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Guidelines:
Submitted papers must be maximum 6 pages long (including all figures, tables, and references) and should report original research results or significant case studies. All accepted papers will be published in the proceedings of the 2025 International Conference on Mobile Data Management and will be included in the IEEE Xplore® digital library.
Looking forward to welcoming you at the CDF4MD,
CDF4MD Chairs
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