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Vu, Tin
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1

A learning-based framework for spatial join processing: est..:

Vu, Tin ; Belussi, Alberto ; Migliorini, Sara.
The VLDB Journal.  33 (2024)  4 - p. 1155-1177 , 2024
Link: https://doi.org/10.1007/..
 
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2

Towards a Learned Cost Model for Distributed Spatial Join ..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Vu, Tin ; Belussi, Alberto ; Migliorini, Sara. - p. 4550-4554 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

A brief introduction to geospatial big data analytics with ..:

, In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science,
Sevim, Akil ; Mahin, Mehnaz Tabassum ; Vu, Tin... - p. 1-2 , 2021
Link: https://dl.acm.org/doi/1..
 
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4

Beast : Scalable Exploratory Analytics on Spatio-tempora..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
Eldawy, Ahmed ; Hristidis, Vagelis ; Ghosh, Saheli... - p. 3796-3807 , 2021
Link: https://dl.acm.org/doi/1..
 
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5

Incremental partitioning for efficient spatial data analyti..:

Vu, Tin ; Eldawy, Ahmed ; Hristidis, Vagelis.
Proceedings of the VLDB Endowment.  15 (2021)  3 - p. 713-726 , 2021
Link: https://doi.org/10.14778..
 
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6

A Learned Query Optimizer for Spatial Join:

, In: Proceedings of the 29th International Conference on Advances in Geographic Information Systems,
Vu, Tin ; Belussi, Alberto ; Migliorini, Sara. - p. 458-467 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

SpiderWeb : A Spatial Data Generator on the Web:

, In: Proceedings of the 28th International Conference on Advances in Geographic Information Systems,
Katiyar, Puloma ; Vu, Tin ; Eldawy, Ahmed.. - p. 465-468 , 2020
Link: https://dl.acm.org/doi/1..
 
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8

Noise Prediction for Geocoding Queries using Word Geospatia..:

, In: Proceedings of the 28th International Conference on Advances in Geographic Information Systems,
Vu, Tin ; Liu, Solluna ; Wang, Renzhong. - p. 127-130 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Using Deep Learning for Big Spatial Data Partitioning:

Vu, Tin ; Belussi, Alberto ; Migliorini, Sara.
ACM Transactions on Spatial Algorithms and Systems.  7 (2020)  1 - p. 1-37 , 2020
Link: https://doi.org/10.1145/..
 
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10

R*-Grove: Balanced Spatial Partitioning for Large-Scale Dat..:

Vu, Tin ; Eldawy, Ahmed
Frontiers in Big Data.  3 (2020)  - p. , 2020
Link: https://doi.org/10.3389/..
 
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11

Using Deep Learning for Big Spatial Data Partitioning:

Vu, Tin ; Belussi, Alberto ; Migliorini, Sara.
ACM Transactions on Spatial Algorithms and Systems (TSAS).  7 (2020)  1 - p. 1-37 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

UCR-STAR: the UCR spatio-temporal active repository:

Ghosh, Saheli ; Vu, Tin ; Eskandari, Mehrad Amin.
SIGSPATIAL Special.  11 (2019)  2 - p. 34-40 , 2019
Link: https://doi.org/10.1145/..
 
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13

Deep Query Optimization:

, In: Proceedings of the 2019 International Conference on Management of Data,
Vu, Tin - p. 1856-1858 , 2019
Link: https://dl.acm.org/doi/1..
 
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14

UCR-STAR : the UCR spatio-temporal active repository:

Ghosh, Saheli ; Vu, Tin ; Eskandari, Mehrad Amin.
SIGSPATIAL Special.  11 (2019)  2 - p. 34-40 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

R-Grove : growing a family of R-trees in the big-data fo..:

, In: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,
Vu, Tin ; Eldawy, Ahmed - p. 532-535 , 2018
Link: https://dl.acm.org/doi/1..
 
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