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Titlebook: Robust Process Mining with Guarantees; Process Discovery, C Sander J. J. Leemans Book 2022 The Editor(s) (if applicable) and The Author(s),

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樓主: 揭發(fā)
41#
發(fā)表于 2025-3-28 18:30:23 | 只看該作者
42#
發(fā)表于 2025-3-28 18:43:52 | 只看該作者
Recursive Process Discovery,Due to the trade offs identified in these challenges, we argued that different algorithms might be necessary in different use cases. In this chapter, we introduce a framework for process discovery in a recursive divide-and-conquer fashion: the Inductive Miner framework, using several illustrative ex
43#
發(fā)表于 2025-3-28 23:16:15 | 只看該作者
Abstractions,rees, and show that this set is confluent. Second, we show for several abstractions that any two trees from a certain class of process trees that have the same language, have the same canonical form. As a side effect, footprints of process tree operators are identified for each abstraction. The abst
44#
發(fā)表于 2025-3-29 04:59:30 | 只看該作者
45#
發(fā)表于 2025-3-29 09:10:00 | 只看該作者
Conformance Checking,he framework projects the behaviour exhaustively on all .-sized subsets of activities, after which the results can be shown as a measure, being projected on a model, or inspected in tabular format. We also explore how unbounded and weakly unsound Petri nets may be handled.
46#
發(fā)表于 2025-3-29 15:25:35 | 只看該作者
Evaluation,uestions: (1) how scalable are the discovery algorithms? (2) how do the discovery algorithms compare to existing techniques in terms of log quality? (3) what are the boundaries of rediscoverability of the discovery algorithms in terms of incomplete, deviating and infrequent behaviour? (4) can the co
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