Process Mining Techniques in Business Environments : Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining / / by Andrea Burattin
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| Autore: |
Burattin Andrea
|
| Titolo: |
Process Mining Techniques in Business Environments : Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining / / by Andrea Burattin
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Edizione: | 1st ed. 2015. |
| Descrizione fisica: | 1 online resource (XII, 220 p. 101 illus.) |
| Disciplina: | 006.312 |
| Soggetto topico: | Data mining |
| Information technology - Management | |
| Pattern recognition systems | |
| Data Mining and Knowledge Discovery | |
| Business Process Management | |
| Computer Application in Administrative Data Processing | |
| Automated Pattern Recognition | |
| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Process Mining Techniques in Business Environments |
| ISBN: | 3-319-17482-7 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299226203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Business Information Processing, . 1865-1356 ; ; 207