Process Mining Manifesto
link https://doi.org/10.1007/978-3-642-28108-2_19account_box van der Aals, Wilaccount_box Adriansyah1, Aryaaccount_box Sepulveda Fernandez Marcos Ernestoaccount_box Arcieri, Francoaccount_box Baier, Thomasaccount_box Blickle, Tobiasaccount_box Chandra Bose, Jagadeeshaccount_box van den Brand, Peteraccount_box Brandtjen, Ronald
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Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.
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| Autor | van der Aals, Wil Adriansyah1, Arya Sepulveda Fernandez Marcos Ernesto Arcieri, Franco Baier, Thomas Blickle, Tobias Chandra Bose, Jagadeesh van den Brand, Peter Brandtjen, Ronald |
| Título | Process Mining Manifesto |
| Revista | Lecture Notes in Business Information Processing |
| ISSN | 1865-1348 |
| Volumen | 99 |
| Número de publicación | 2 |
| ISBN | 978-3-642-28107-5 |
| Página inicio | 169 |
| Página final | 194 |
| Fecha de publicación | 2012 |
| Cómo citar este documento | van der Aalst W, Sepúlveda M, Muñoz G, et al. Process Mining Manifesto. Lecture Notes In Business Information Processing . 2012;99(2):169-194. |
| Resumen | Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes. |
| Derechos | acceso restringido |
| Agencia financiadora | Propio |
| DOI | 10.1007/978-3-642-28108-2_19 |
| Enlace | http://link.springer.com/chapter/10.1007/978-3-642-28108-2_19 |
| Paginación | 26 páginas |
| Palabra clave | Computer science Information systems Interdisciplinary applications Software engineering |
| Temática | Ingeniería |
| Tipo de documento | artículo |