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cs.DB2026
Efficient and Effective Table-Centric Table Union Search in Data Lakes
Yongkang Sun, Zhihao Ding, Huiqiang Wang +2
In data lakes, information on the same subject is often fragmented across multiple tables. Table union search aims to find the top-k tables that can be unioned with a query table t…
cs.DB2025
Multi-granularity Spatiotemporal Flow Patterns
Chrysanthi Kosyfaki, Nikos Mamoulis, Reynold Cheng +1
Analyzing flow of objects or data at different granularities of space and time can unveil interesting insights or trends. For example, transportation companies, by aggregating pass…
cs.DB2023
Spatio-temporal flow patterns
Chrysanthi Kosyfaki, Nikos Mamoulis, Reynold Cheng +1
Transportation companies and organizations routinely collect huge volumes of passenger transportation data. By aggregating these data (e.g., counting the number of passengers going…