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Improving Business Process Quality through Exception Understanding, Prediction, and Prevention

Summary: Introduces a data-warehouse/mining framework for analyzing process exceptions and predicting SLA violations early. An implemented tool suite supports exception prevention and demonstrates the approach on HP’s internal processes. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8931
Venue
VLDB
Year
2001
Pagerank
-
Overall Rank
14,042 | 3.66%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{grigori_vldb01,
        title = {{Improving Business Process Quality through Exception Understanding, Prediction, and Prevention}},
        author = {Grigori, Daniela and Casati, Fabio and Dayal, Umesh and Shan, Ming-Chien},
        journal = {PVLDB},
        series = {{VLDB} '01},
        year = {2001}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,726 Business Process Coordination: State of the Art, Trends, and Open Issues 2001 VLDB 5.5580936e-05
8,885 Warehousing Workflow Data: Challenges and Opportunities 2001 VLDB 5.3514928e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
8,885 Warehousing Workflow Data: Challenges and Opportunities 2001 VLDB 5.3514928e-05
Previous Page 1 / 1 Next

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