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Genetic Process Mining
- Applications and Theory of Petri Nets 2005, volume 3536 of Lecture Notes in Computer Science
, 2005
"... Abstract. The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discover process models from event logs, i.e., events logged by some information system are used to extract informat ..."
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Cited by 55 (9 self)
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Abstract. The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discover process models from event logs, i.e., events logged by some information system are used to extract
From Data Mining to Knowledge Discovery in Databases.
- AI Magazine,
, 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
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Cited by 538 (0 self)
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predictive model for estimating the value of future cases). At the core of the process is the application of specific data-mining methods for pattern discovery and extraction. 1 This article begins by discussing the historical context of KDD and data mining and their intersection with other related fields. A
Business process mining: An industrial application
- INFORMATION SYSTEMS
, 2007
"... ... SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover process, control, data, organizational, and social structures. Although many researchers are developing new and more powerful process mining techniques and software vendors ..."
Abstract
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Cited by 83 (7 self)
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... SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover process, control, data, organizational, and social structures. Although many researchers are developing new and more powerful process mining techniques and software vendors
Process Mining: A Research Agenda
- Computers and Industry
, 2003
"... Enterprise information systems support and control operational business processes ranging from simple internal back-office processes to complex interorganizational processes. Technologies such as Workflow Management (WFM), Enterprise Application Integration (EAI), Enterprise Resource Planning (ERP), ..."
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Cited by 81 (0 self)
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), and Web Services (WS) typically focus on the realization of IT support rather than monitoring the operational business processes. Process mining aims at extracting information from event logs to capture the business process as it is being executed. In this paper, we try to put the topic of process mining
Process Mining Put into Context
"... Process mining techniques help organizations discover and analyze business processes based on raw event data. The recently released “Process Mining Manifesto” presents guiding principles and challenges for process mining. Here, the authors summarize the manifesto’s main points and argue that analyst ..."
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Process mining techniques help organizations discover and analyze business processes based on raw event data. The recently released “Process Mining Manifesto” presents guiding principles and challenges for process mining. Here, the authors summarize the manifesto’s main points and argue
Supporting Process Mining Workflows with
"... Abstract. Process mining is gaining more and more attention both in industry and practice. As such, the number of process mining products is steadily increasing. However, none of these products allow for composing and executing analysis workflows consisting of multiple process mining algorithms. As ..."
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Abstract. Process mining is gaining more and more attention both in industry and practice. As such, the number of process mining products is steadily increasing. However, none of these products allow for composing and executing analysis workflows consisting of multiple process mining algorithms
Process Mining: Overview and Opportunities
, 2012
"... Over the last decade, process mining emerged as a new research field that focuses on the analysis of processes using event data. Classical data mining techniques such as classification, clustering, regression, association rule learning, and sequence/episode mining do not focus on business process mo ..."
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Cited by 11 (0 self)
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Over the last decade, process mining emerged as a new research field that focuses on the analysis of processes using event data. Classical data mining techniques such as classification, clustering, regression, association rule learning, and sequence/episode mining do not focus on business process
Process Mining in CSCW Systems
"... Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Traditionally, ..."
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Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Traditionally
Challenges in Business Process Mining
"... Abstract. Information systems are becoming more and more inter-twined with the operational processes in most organizations. As a re-sult, a multitude of events are recorded by today’s information systems. The goal of process mining is to use these event data to extract process-related information, e ..."
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Abstract. Information systems are becoming more and more inter-twined with the operational processes in most organizations. As a re-sult, a multitude of events are recorded by today’s information systems. The goal of process mining is to use these event data to extract process-related information
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