Spatiotemporal data mining: a survey on challenges and open problems
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DOI: 10.1007/s10462-021-09994-y
Abstract: Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important progress in this field. However, STDM challenges and… read more here.
Keywords: survey challenges; data mining; mining survey; spatiotemporal data ... See more keywords
A Survey of Challenges and Opportunities in Vertical Federated Unlearning
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DOI: 10.1109/access.2025.3600884
Abstract: Vertical Federated Unlearning (VFU) is an emerging research area focused on removing specific data contributions from models trained under Vertical Federated Learning (VFL), a setting where different organizations collaboratively train models using distinct feature sets… read more here.
Keywords: challenges opportunities; survey challenges; vfu; federated unlearning ... See more keywords