Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework
Real-world business processes are dynamic, with event logs that are generally unstructured and contain heterogeneous business classes. Process mining techniques derive useful knowledge from such logs but translating them into simplified and logical segments is crucial. Complexity is increased when d...
Main Authors: | Zeeshan Tariq, Naveed Khan, Darryl Charles, Sally McClean, Ian McChesney, Paul Taylor |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/13/10/244 |
Similar Items
-
Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis
by: Zeeshan Tariq, et al.
Published: (2022-07-01) -
Profile-Based Cluster Evolution Analysis: Identification of Migration Patterns for Understanding Student Learning Behavior
by: Satrio Adi Priyambada, et al.
Published: (2021-01-01) -
Using Markov Models to Characterize and Predict Process Target Compliance
by: Sally McClean
Published: (2021-05-01) -
Semi-Markov Models for Process Mining in Smart Homes
by: Sally McClean, et al.
Published: (2023-12-01) -
Discovery of process variants based on trace context tree
by: Huan Fang, et al.
Published: (2023-12-01)