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Process mining techniques in busines...
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Burattin, Andrea.
Process mining techniques in business environmentstheoretical aspects, algorithms, techniques and open challenges in process mining /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Process mining techniques in business environmentsby Andrea Burattin.
Reminder of title:
theoretical aspects, algorithms, techniques and open challenges in process mining /
Author:
Burattin, Andrea.
Published:
Cham :Springer International Publishing :2015.
Description:
xii, 220 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Data mining.
Online resource:
http://dx.doi.org/10.1007/978-3-319-17482-2
ISBN:
9783319174822 (electronic bk.)
Process mining techniques in business environmentstheoretical aspects, algorithms, techniques and open challenges in process mining /
Burattin, Andrea.
Process mining techniques in business environments
theoretical aspects, algorithms, techniques and open challenges in process mining /[electronic resource] :by Andrea Burattin. - Cham :Springer International Publishing :2015. - xii, 220 p. :ill., digital ;24 cm. - Lecture notes in business information processing,2071865-1348 ;. - Lecture notes in business information processing ;96..
After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic "batch process mining," and second to more recent "online process mining." The book encompasses a revised version of the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2014, awarded by the IEEE Task Force on Process Mining.
ISBN: 9783319174822 (electronic bk.)
Standard No.: 10.1007/978-3-319-17482-2doiSubjects--Topical Terms:
184440
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Process mining techniques in business environmentstheoretical aspects, algorithms, techniques and open challenges in process mining /
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After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic "batch process mining," and second to more recent "online process mining." The book encompasses a revised version of the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2014, awarded by the IEEE Task Force on Process Mining.
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EB QA76.9.D343 B945 2015
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http://dx.doi.org/10.1007/978-3-319-17482-2
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