Add to ORKGAbstract. Despite the omnipresence of event logs in transactional infor-mation systems (cf. WFM, ERP, CRM, SCM, and B2B systems), historic information is rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs, i.e., the basic idea of process mining is to diagnose busi-ness processes by mining event logs for knowledge. Given its potential and challenges it is no surprise that recently process mining has become a vivid research area [5, 6]. In this paper, a novel approach for process mining based on two event types, i.e., START and COMPLETE, is pro-posed. Information about the start an...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Over the last decade process mining emerged as a new analytical discipline able to answer a variety ...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Abstract. The basic idea of process mining is to extract knowledge from event logs recorded by an in...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
The execution of processes in companies generates traces of event data, stored in the underlying inf...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Over the last decade process mining emerged as a new analytical discipline able to answer a variety ...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM,...
Abstract. The basic idea of process mining is to extract knowledge from event logs recorded by an in...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
The execution of processes in companies generates traces of event data, stored in the underlying inf...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Process mining techniques attempt to extract non-trivial and useful information from event logs reco...
Over the last decade process mining emerged as a new analytical discipline able to answer a variety ...