INF2982 - Process Mining

If you can't describe what you are doing as a process, you don't know what you're doing. 

W. Edwards Deming


Livros sugeridos: 
- Wil van der Aalst, Process Mining: Data Science in Action, 2nd Ed., Springer 2016.

- Seyed-Mehdi-Reza Beheshti et al., Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data, Springer, 2016.

- Wolfgang Reisig, Understanding Petri Nets: Modeling Techniques, Analysis Methods, Case Studies, Springer, 2013.

- Mathias Weske Busisness Process Management: Concepts, Languages and Architectures, 2nd Ed., 2012.

- Nina Zumel and John Mount. Practical Data Science with R, Manning, 2014.


Material no Moodle:

http://www.ideias.inf.puc-rio.br/aulas

e-mail: lopes at inf dot puc-rio dot br
Tel: 55+21+3527-1500 R:4350  Fax: 55+21+3527-1530
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) - Departamento de Informática - Sala 408 RDC
Rua Marquês de São Vicente 225, Gávea, Rio de Janeiro, RJ, Brazil, CEP 22451-900