SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Summary: SPIRIT enables user-focused sequential pattern mining by expressing constraints as regular expressions, beyond minimum support. It develops algorithms that vary when RE constraints prune search, exposing efficiency tradeoffs for non-anti-monotone constraints. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Minos N. Garofalakis (AT&T)
- 2. Rajeev Rastogi (AT&T)
- 3. Kyuseok Shim (AT&T)
BibTeX Citation
@article{garofalakis_vldb99,
title = {{SPIRIT: Sequential Pattern Mining with Regular Expression Constraints}},
author = {Garofalakis, Minos N. and Rastogi, Rajeev and Shim, Kyuseok},
journal = {PVLDB},
series = {{VLDB} '99},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 897 | APEX: An Adaptive Path Index for XML Data | 2002 | SIGMOD | 0.00013339862 |
| 4,178 | A Web Odyssey: from Codd to XML | 2001 | PODS | 6.849218e-05 |
| 5,454 | ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines | 2020 | SIGMOD | 6.2134177e-05 |
| 5,895 | The 3W Model and Algebra for Unified Data Mining | 2000 | VLDB | 6.0486927e-05 |
| 6,560 | IL-Miner: Instance-Level Discovery of Complex Event Patterns | 2017 | VLDB | 5.8393764e-05 |
| 12,838 | Mining Long Sequential Patterns in a Noisy Environment | 2002 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 1,318 | Querying Shapes of Histories | 1995 | VLDB | 0.00011178588 |
| 1,535 | Exploratory Mining and Pruning Optimizations of Constrained Association Rules | 1998 | SIGMOD | 0.00010463058 |
| 1,603 | Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results | 1994 | SIGMOD | 0.00010236342 |
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