Using Sentinel Technology in the TARGIT BI Suite
Summary: Sentinels, a novel rule type in the TARGIT BI Suite, are more specific than sequential patterns or correlations for warning about cross-measure changes in multidimensional data cubes. Details the sentinel algorithm, implementation, and prerequisites, plus a user-friendly demo to mine and schedule warnings. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Morten Middelfart (TARGIT A/S)
- 2. Torben Bach Pedersen (Aalborg University)
BibTeX Citation
@article{middelfart_vldb10,
title = {{Using Sentinel Technology in the TARGIT BI Suite}},
author = {Middelfart, Morten and Pedersen, Torben Bach},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {2},
doi = {10.14778/1920841.1921057},
url = {https://doi.org/10.14778/1920841.1921057},
year = {2010}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 668 | StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time | 2002 | VLDB | 0.00015166017 |
| 704 | Dynamic Itemset Counting and Implication Rules for Market Basket Data | 1997 | SIGMOD | 0.00014837704 |
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