DBScholar

Back to papers

A Regression-Based Temporal Pattern Mining Scheme for Data Streams

Summary: FTP-DS mines frequent temporal patterns in streaming transactions with a single online scan, supporting variable intervals and real-time candidates. Its compact accumulated-time/frequency regression representation enables space-efficient trend detection. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9157
Venue
VLDB
Year
2003
Pagerank
5.9204295e-05
Overall Rank
6,305 | 56.75%
DOI
10.1016/B978-012722442-8/50017-3

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{teng_vldb03,
        title = {{A Regression-Based Temporal Pattern Mining Scheme for Data Streams}},
        author = {Teng, Wei-Guang and Chen, Ming-Syan and Yu, Philip S.},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50017-3},
        url = {https://doi.org/10.1016/B978-012722442-8/50017-3},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 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