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Robust Process Mining with Guarantees [electronic resource] : Process Discovery, Conformance Checking and Enhancement /

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Business Information Processing ; 440Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XIX, 467 p. 201 illus., 100 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030966553
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 658.4038 23
LOC classification:
  • HD30.2
Online resources:
Contents:
Introduction -- Preliminaries -- Process Mining -- Recursive Process Discovery -- Abstractions -- Discovery Algorithms -- Conformance Checking -- Evaluation -- Enhancement and inductive visual miner -- Conclusion -- index.
In: Springer Nature eBookSummary: 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.
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Introduction -- Preliminaries -- Process Mining -- Recursive Process Discovery -- Abstractions -- Discovery Algorithms -- Conformance Checking -- Evaluation -- Enhancement and inductive visual miner -- Conclusion -- index.

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.

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