DBScholar

Back to papers

A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union

Summary: Models ranked subsequence matching as ranked union; introduces MSEQ and MSEQ-distance for lower-bounds and pruning. Cost-aware density-based PQ scheduling eliminates HLMJ overhead; yields up to 2–3 orders of magnitude speedups over HLMJ and PSM on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4466
Venue
SIGMOD
Year
2011
Pagerank
5.5049255e-05
Overall Rank
8,026 | 44.94%
DOI
10.1145/1989323.1989371

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{han_sigmod11,
        title = {{A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union}},
        author = {Han, Wook-Shin and Lee, Jinsoo and Moon, Yang-Sae and Hwang, Seung-won and Yu, Hwanjo},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989371},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989371},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,858 A Generic Framework for Efficient and Effective Subsequence Retrieval 2012 VLDB 5.7523396e-05
12,120 SMiLer: A Semi-Lazy Time Series Prediction System for Sensors 2015 SIGMOD 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 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