Machine Learning Meets Big Spatial Data

Summary: Tutorial surveying the intersection of ML and big spatial data, focusing on scalable analytics for large spatial workloads. Covers data analysis, deep learning, statistical inference, plus spatial feature extraction and sampling, with open problems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h5f3fde7e7585b6b9
Venue: VLDB
Year: 2019
Pagerank: 5.2449044e-05
Overall Rank: 8,878 | 40.49%
DOI: 10.14778/3352063.3352115
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

1. Ibrahim Sabek (University of Minnesota)
2. Mohamed F. Mokbel (Hamad Bin Khalifa University; Qatar Computing Research Institute; University of Minnesota)

BibTeX Citation

@article{sabek_vldb19,
        title = {{Machine Learning Meets Big Spatial Data}},
        author = {Sabek, Ibrahim and Mokbel, Mohamed F.},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1982--1985},
        doi = {10.14778/3352063.3352115},
        url = {https://doi.org/10.14778/3352063.3352115},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,913	AI Meets Database: AI4DB and DB4AI	2021	SIGMOD	7.855786e-05
4,765	Machine Learning for Databases	2021	VLDB	6.4166895e-05
8,721	QARTA: An ML-based System for Accurate Map Services	2021	VLDB	5.2705676e-05
8,908	Spatial Query Optimization With Learning	2024	VLDB	5.2369727e-05
11,095	Are We There Yet? A Grand Tour of ETA Queries	2026	VLDB	4.9605343e-05
12,064	A Demonstration of QARTA: An ML-based System for Accurate Map Services	2021	VLDB	4.9605343e-05

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
32	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00049559562
94	Efficient and Effective Clustering Methods for Spatial Data Mining	1994	VLDB	0.00034470298
100	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033951027
105	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033605348
569	Incremental Knowledge Base Construction Using DeepDive	2015	VLDB	0.00016212139
1,009	Simulation of Database-Valued Markov Chains Using SimSQL	2013	SIGMOD	0.00012518224
1,067	Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS	2011	VLDB	0.00012170631
1,183	Simba: Efficient In-Memory Spatial Analytics	2016	SIGMOD	0.00011589152
1,226	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011432354
1,313	STING: A Statistical Information Grid Approach to Spatial Data Mining	1997	VLDB	0.00011058121
3,162	Efficient Spatial Sampling of Large Geographical Tables	2012	SIGMOD	7.5630152e-05
3,814	UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics	2018	VLDB	6.9867936e-05
3,825	Spatial Online Sampling and Aggregation	2016	VLDB	6.9795872e-05
4,229	Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration	2018	SIGMOD	6.7068084e-05
4,525	Incremental View Maintenance over Array Data	2017	SIGMOD	6.5486702e-05
9,902	GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs	2016	VLDB	5.0985581e-05
9,903	TELEIOS: A Database-Powered Virtual Earth Observatory	2012	VLDB	5.0985581e-05
12,222	Flash in Action: Scalable Spatial Data Analysis Using Markov Logic Networks	2019	VLDB	4.9605343e-05
12,271	A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System	2018	SIGMOD	4.9605343e-05

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