DEVIANCE MINING OF ONLINE PROCESSES WITH NONATOMIC EVENTS IN THE COVID-19 DOMAIN

Autor: LUCAS SEIXAS JAZBIK

Publikováno v: Repositório Institucional da PUC-RIO (Projeto Maxwell)
Pontifícia Universidade Católica do Rio de Janeiro (PUC-RIO)
instacron:PUC_RIO

PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO As técnicas de mineração de processos vêm sendo aplicadas com sucesso como abordagens baseadas em dados e específicas do domínio para melhorar o desempenho do processo de negócios em várias

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::e38bd11e816ab7bc004be93966f78ffb
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=60847@2

DEVIANCE MINING OF ONLINE PROCESSES WITH NON-ATOMIC EVENTS IN THE COVID-19 DOMAIN

Autor: LUCAS SEIXAS JAZBIK

Publikováno v: SEMINÁRIOS DE ACOMPANHAMENTO À PESQUISA EM ENGENHARIA DE PRODUÇÃO.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3e880b3c0332f46c298bb73e866453a
https://doi.org/10.17771/pucrio.seminarppgep.60266

Deviance mining with treatment learning and declare-based encoding of event logs

Autor: Maria Luiza Machado Campos, Fernanda Araujo Baião, Lucas Seixas Jazbik, Pedro H. Piccoli Richetti

Publikováno v: Expert Systems with Applications. 187:115962

Business Process Deviance Mining is a research area that aims to characterize deviations of a business process from its expected outcomes. Techniques within this area discover which features of a set of process executions are associated to changes in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c988693d8dd31b8f859a1892cd6e5ee1
https://doi.org/10.1016/j.eswa.2021.115962