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Lu et al., 2021 - Google Patents

A robust and accurate approach to detect process drifts from event streams

Lu et al., 2021

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Document ID
6750905355721971426
Author
Lu Y
Chen Q
Poon S
Publication year
Publication venue
International Conference on Business Process Management

External Links

Snippet

Business processes are bound to evolve as a form of adaption to changes, and such changes are referred as process drifts. Current process drift detection methods perform well on clean event log data, but the performance can be tremendously affected by noise. A good …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30477—Query execution
    • G06F17/30507—Applying rules; deductive queries
    • G—PHYSICS
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    • G—PHYSICS
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    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
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