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Process Mining Techniques in Business Environments = Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Process Mining Techniques in Business Environments/ by Andrea Burattin.
Reminder of title:	Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining /
Author:	Burattin, Andrea.
Description:	XII, 220 p. 101 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-319-17482-2
ISBN:	9783319174822

Process Mining Techniques in Business Environments = Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining /
Burattin, Andrea.

Process Mining Techniques in Business EnvironmentsTheoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining /[electronic resource] :by Andrea Burattin. - 1st ed. 2015. - XII, 220 p. 101 illus.online resource. - Lecture Notes in Business Information Processing,2071865-1348 ;. - Lecture Notes in Business Information Processing,206.

1 Introduction -- Part I: State of the Art: BPM, Data Mining and Process Mining -- 2 Introduction to Business Processes, BPM, and BPM Systems -- 3 Data Generated by Information Systems (and How to Get It) -- 4 Data Mining for Information System Data -- 5 Process Mining -- 6 Quality Criteria in Process Mining -- 7 Event Streams -- Part II: Obstacles to Process Mining in Practice -- 8 Obstacles to Applying Process Mining in Practice -- 9 Long-term View Scenario -- Part III: Process Mining as an Emerging Technology -- 10 Data Preparation -- 11 Heuristics Miner for Time Interval -- 12 Automatic Configuration of Mining Algorithm -- 13 User-Guided Discovery of Process Models -- 14 Extensions of Business Processes with Organizational Roles -- 15 Results Interpretation and Evaluation -- 16 Hands-On: Obtaining Test Data -- Part IV: A New Challenge in Process Mining -- 17 Process Mining for Stream Data Sources -- Part V: Conclusions and Future Work -- 18 Conclusions and Future Work.

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

Standard No.: 10.1007/978-3-319-17482-2doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Process Mining Techniques in Business Environments = Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining /
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