A Regression-Based Temporal Pattern Mining Scheme for Data Streams
Summary: Regression-based FTP-DS mines frequent temporal patterns in data streams with one-pass online statistics via data segmentation. ATF encodes time and frequency for regression over variable intervals; segmentation tuning and relaxation boost trend detection. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wei-Guang Teng
- 2. Ming-Syan Chen
- 3. Philip S. Yu
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,018 | Approximate NN Queries on Streams with Guaranteed Error/performance Bounds | 2004 | VLDB | 7.7002798e-05 |
| 6,535 | Effective Variation Management for Pseudo Periodical Streams | 2007 | SIGMOD | 5.0243433e-05 |
| 12,562 | Using Association Rules for Fraud Detection in Web Advertising Networks | 2005 | VLDB | 4.1945683e-05 |
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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 |
|---|---|---|---|---|
| 166 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00039361552 |
| 619 | On Computing Correlated Aggregates Over Continual Data Streams | 2001 | SIGMOD | 0.00019066583 |
| 985 | Streaming Queries over Streaming Data | 2002 | VLDB | 0.00014852471 |
| 1,064 | Processing Complex Aggregate Queries over Data Streams | 2002 | SIGMOD | 0.00014356481 |
| 1,222 | Querying and Mining Data Streams: You Only Get One Look | 2002 | SIGMOD | 0.00013213129 |
| 2,448 | Multi-Dimensional Regression Analysis of Time-Series Data Streams | 2002 | VLDB | 8.8032353e-05 |
| 3,794 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB | 6.7617267e-05 |
| 3,894 | Mining surprising patterns using temporal description length | 1998 | VLDB | 6.6583221e-05 |
| 12,645 | Mining Long Sequential Patterns in a Noisy Environment | 2002 | SIGMOD | 4.1945683e-05 |
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| 7,246 | Finding Relevant Patterns in Bursty Sequences | 2008 | VLDB | 4.790704e-05 |
| 166 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00039361552 |
| 5,772 | Mining Frequent Patterns with Differential Privacy | 2013 | VLDB | 5.3322378e-05 |
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