Applying clustering in process mining to find different versions of a business process that changes over time

Luengo D.; Sepúlveda M.

Keywords: model, algorithm, management, features, discovery, time, dimensions, data, similarity, mining, resource, process, clustering, business, enterprise, temporal, structural, traditional, Independent, instances, In-process, Control-flow

Más información

Título según SCOPUS: Applying clustering in process mining to find different versions of a business process that changes over time
Título de la Revista: LECTURE NOTES IN BUSINESS INFORMATION PROCESSING
Volumen: 99 LNBIP
Número: PART 1
Editorial: Springer
Fecha de publicación: 2012
Página de inicio: 153
Página final: 158
Idioma: English
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84856585039&partnerID=40&md5=841d122d16434158f75000432d6d7723
DOI:

10.1007/978-3-642-28108-2_15

Notas: SCOPUS