At UrbComp 2025 (The 14th International Workshop on Urban Computing), held within KDD 2025 in Toronto, Canada, from 3 – 7 August 2025, second-year doctoral student Haruki Yonekura gave an oral presentation entitled:
Evaluating Attribute Inference Risks in Urban Care Taxi Arrival Time Prediction Models Using Geospatial Data
- Yuya Takeuchi, Haruki Yonekura, Kyosuke Yamashita and Hirozumi Yamaguchi
Out of 10 submissions, 6 papers were accepted in the workshop, and this paper was selected as a Best Workshop Paper Candidate.
KDD is a CORE A* top-tier conference in the field of data mining.
This year, the acceptance rates for the Principal Tracks in KDD2025 were informed as below.
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| Acceptance Rate | August 2024 Cycle | February 2025 Cycle |
+---------------------------------------------+---------------------+----------------------+
| Research Track (92 sessions) | 19.3% (187/967) | 18.4% (365/1988) |
| Applied Data Science Track (29 sessions) | 19.9% (63/316) | 18.4% (92/500) |
| Datasets and Benchmarks Track (11 sessions) | 23.7% (68/286) |
+---------------------------------------------+---------------------+----------------------+
It appears that KDD 2026 is scheduled to be held in Jeju Island, Korea(offering visa-free entry to most nationalities arriving on direct flights from abroad).
Further information:
UrbComp 2025 – https://urbcomp25.netlify.app/
KDD 2025 – https://kdd2025.kdd.org/
