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Robust Process Mining with Guarantees
(Englisch)
Process Discovery, Conformance Checking and Enhancement
Leemans, Sander J. J.

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Robust Process Mining with Guarantees

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  • Springer Basel AG
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  • 560621119

Produktbeschreibung

This book presents techniques for process discovery, conformance checking and enhancement.

This book presents techniques for process discovery, conformance checking and enhancement. For process discovery, it introduces the Inductive Miner framework: a recursive skeleton for discovery techniques that in itself provides several guarantees.

The framework is instantiated in several concrete discovery techniques, each of which targets a specific challenge of process discovery, such as incompleteness of information or noisy behavior. For conformance checking, it introduces the Projected Conformance Checking framework, which focuses on speed, but nevertheless provides several guarantees, such as that for certain classes of models, it can decide language equivalence. For enhancement, it introduces the Inductive visual Miner, a well-polished end-user focused tool that includes process discovery, conformance checking and that can visualize performance on a discovered model, all without any user input.



Introduction.- Preliminaries.- Process Mining.- Recursive Process Discovery.- Abstractions.- Discovery Algorithms.- Conformance Checking.- Evaluation.- Enhancement and inductive visual miner.- Conclusion.- index.

Inhaltsverzeichnis

Introduction.- Preliminaries.- Process Mining.- Recursive Process Discovery.- Abstractions.- Discovery Algorithms.- Conformance Checking.- Evaluation.- Enhancement and inductive visual miner.- Conclusion.- index.


Klappentext

This book presents techniques for process discovery, conformance checking and enhancement. For process discovery, it introduces the Inductive Miner framework: a recursive skeleton for discovery techniques that in itself provides several guarantees.


The framework is instantiated in several concrete discovery techniques, each of which targets a specific challenge of process discovery, such as incompleteness of information or noisy behavior. For conformance checking, it introduces the Projected Conformance Checking framework, which focuses on speed, but nevertheless provides several guarantees, such as that for certain classes of models, it can decide language equivalence. For enhancement, it introduces the Inductive visual Miner, a well-polished end-user focused tool that includes process discovery, conformance checking and that can visualize performance on a discovered model, all without any user input.




Presents techniques for process discovery, conformance checking and process enhancement

Explores the boundaries of what any process discovery technique could do

Based on the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2018



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