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

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

Yazar
Burattin, Andrea. author.

ISBN
9783319174822

Yazar
Burattin, Andrea. author.

Fiziksel Niteleme
XII, 220 p. 101 illus. online resource.

Seri
Lecture Notes in Business Information Processing, 207

İçindekiler
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.

Özet
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.

Konu Başlığı
Computer science.
 
Management information systems.
 
Industrial management.
 
Data mining.
 
Pattern recognition.
 
Application software.
 
Data Mining and Knowledge Discovery.
 
Business Process Management.
 
Computer Appl. in Administrative Data Processing.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-3-319-17482-2


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book22695-1001QA76.9 .D343Springer E-Book Collection