DBScholar

Back to papers

Interactive Time Series Exploration Powered by the Marriage of Similarity Distances

Summary: ONEX enables interactive exploration of variable-length, time-warped series via one-time preprocessing. It clusters segments with cheap Euclidean distances, then applies DTW only to a compact knowledge base, avoiding infeasible pairwise encoding while retaining accuracy and improving response time. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11639
Venue
VLDB
Year
2017
Pagerank
5.8538485e-05
Overall Rank
6,517 | 55.29%
DOI
10.14778/3149193.3149200

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{neamtu_vldb17,
        title = {{Interactive Time Series Exploration Powered by the Marriage of Similarity Distances}},
        author = {Neamtu, Rodica and Ahsan, Ramoza and Rundensteiner, Elke and Sarkozy, Gabor},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {3},
        pages = {169--182},
        doi = {10.14778/3149193.3149200},
        url = {https://doi.org/10.14778/3149193.3149200},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 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