Robust Process Mining with Guarantees: Process Discovery, Conformance Checking and Enhancement: Lecture Notes in Business Information Processing, cartea 440
Autor Sander J. J. Leemansen Limba Engleză Paperback – 29 mar 2022
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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Specificații
ISBN-13: 9783030966546
ISBN-10: 3030966542
Pagini: 467
Ilustrații: XIX, 467 p. 201 illus., 100 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Business Information Processing
Locul publicării:Cham, Switzerland
ISBN-10: 3030966542
Pagini: 467
Ilustrații: XIX, 467 p. 201 illus., 100 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Business Information Processing
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Preliminaries.- Process Mining.- Recursive Process Discovery.- Abstractions.- Discovery Algorithms.- Conformance Checking.- Evaluation.- Enhancement and inductive visual miner.- Conclusion.- index.
Textul de pe ultima copertă
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.
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.
Caracteristici
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