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

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 bel...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Burattin, Andrea (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Business Information Processing, 207
Temas:
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.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XII, 220 p. 101 illus. online resource.
ISBN:9783319174822
ISSN:1865-1356 ;

Ejemplares similares