DBScholar

Back to papers

Lazy Updates: An Efficient Technique to Continuously Monitoring Reverse kNN

Summary: Lazy updates for continuous reverse kNN monitoring using rectangular safe regions per query/object to avoid recomputation while inside. Reduces client-server traffic as updates occur only on exit or by server request; cost analysis and experiments show order-of-magnitude gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10125
Venue
VLDB
Year
2009
Pagerank
5.3766157e-05
Overall Rank
8,760 | 39.90%
DOI
10.14778/1687627.1687755

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cheema_vldb09,
        title = {{Lazy Updates: An Efficient Technique to Continuously Monitoring Reverse kNN}},
        author = {Cheema, Muhammad Aamir and Lin, Xuemin and Zhang, Ying and Wang, Wei and Zhang, Wenjie},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687755},
        url = {https://doi.org/10.14778/1687627.1687755},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,356 Reverse k Nearest Neighbors Query Processing: Experiments and Analysis 2015 VLDB 5.282937e-05
11,568 Continuous Social Distance Monitoring in Indoor Space 2022 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers