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DBLOC: Density Based Clustering over LOCation Based Services

Summary: DBLOC enables density-based clustering over LBS backends via limited kNN queries, addressing restricted interfaces. It learns a cluster function f(t) labeling unseen tuples with high accuracy under rate limits, enabling intra/inter-cluster analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5584
Venue
SIGMOD
Year
2018
Pagerank
5.6655859e-05
Overall Rank
7,234 | 50.37%
DOI
10.1145/3183713.3193561

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gunasekaran_sigmod18,
        title = {{DBLOC: Density Based Clustering over LOCation Based Services}},
        author = {Gunasekaran, Yeshwanth D and Rahman, Md Farhadur and Hasani, Sona and Zhang, Nan and Das, Gautam},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193561},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193561},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,041 DiscoPG: Property Graph Schema Discovery and Exploration 2022 VLDB 5.7194994e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
13,582 Aggregate Estimations over Location Based Services 2015 VLDB -
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