TY - BOOK AU - Burattin,Andrea TI - Process mining techniques in business environments: theoretical aspects, algorithms, techniques and open challenges in process mining T2 - Lecture Notes in Business Information Processing, SN - 9783319174815 U1 - 658.4 PY - 2015/// CY - Switzerland PB - Springer KW - Data mining KW - Process control KW - Data processing N1 - 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; Includes bibliographical references; 1. Introduction -- Pt. 1. 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 -- Pt. 3. 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 -- Pt. 4. A New Challenge in Process Mining -- 17. Process Mining for Stream Data Sources -- Pt. 5. Conclusions and Future Work -- 18. Conclusions and Future Work N2 - 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." ER -