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: h81659561be1b6ad1
Venue: VLDB
Year: 2003
Pagerank: 5.7856009e-05
Overall Rank: 6,435 | 56.75%
DOI: 10.1016/B978-012722442-8/50017-3

Incoming Non-self Citations Over Time

Authors

1. Wei-Guang Teng (National Taiwan University)
2. Ming-Syan Chen (National Taiwan University)
3. Philip S. Yu (International Business Machines T. J. Watson Research Center)

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.

Rank	Citing Paper	Year	Venue	Pagerank
2,940	Approximate NN Queries on Streams with Guaranteed Error/performance Bounds	2004	VLDB	7.8306095e-05
7,536	Effective Variation Management for Pseudo Periodical Streams	2007	SIGMOD	5.4983711e-05
13,051	Using Association Rules for Fraud Detection in Web Advertising Networks	2005	VLDB	4.9769913e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
124	Approximate Frequency Counts over Data Streams	2002	VLDB	0.00030586757
566	On Computing Correlated Aggregates Over Continual Data Streams	2001	SIGMOD	0.00016288241
843	Processing Complex Aggregate Queries over Data Streams	2002	SIGMOD	0.00013534623
852	Streaming Queries over Streaming Data	2002	VLDB	0.00013450014
1,290	Querying and Mining Data Streams: You Only Get One Look	2002	SIGMOD	0.00011155963
2,210	Multi-Dimensional Regression Analysis of Time-Series Data Streams	2002	VLDB	8.8340718e-05
3,703	Identifying Representative Trends in Massive Time Series Data Sets Using Sketches	2000	VLDB	7.0810108e-05
4,028	Mining surprising patterns using temporal description length	1998	VLDB	6.8425197e-05
13,134	Mining Long Sequential Patterns in a Noisy Environment	2002	SIGMOD	4.9769913e-05

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7	14,406	Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining	2000	SIGMOD
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