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179
Discovering block-structured process models from event logs -- A constructive approach
, 2013
"... Process discovery is the problem of, given a log of observed behaviour, finding a process model that ‘best’ describes this behaviour. A large variety of process discovery algorithms has been proposed. However, no existing algorithm guarantees to return a fitting model (i.e., able to reproduce all ob ..."
Abstract
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Cited by 7 (0 self)
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observed behaviour) that is sound (free of deadlocks and other anomalies) in finite time. We present an extensible framework to discover from any given log a set of block-structured process models that are sound and fit the observed behaviour. In addition we characterise the minimal information required
Discovering Workflow Performance Models from Timed Logs
- International Conference on Engineering and Deployment of Cooperative Information Systems (EDCIS 2002), volume 2480 of Lecture Notes in Computer Science
, 2002
"... Contemporary workflow management systems are ch'iven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and typically there are discrepancies betw ..."
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Cited by 55 (12 self)
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between the actual workflow processes and the processes as perceived by the management. Therefore, we have developed techniques for discovering workflow models. Starting point for such techniques are so-called "workflow logs" containing information about the workflow process
Discovering Petri Nets From Event Logs
"... As information systems are becoming more and more intertwined with the operational processes they support, multitudes of events are recorded by todays information systems. The goal of process mining is to use such event data to extract process related information, e.g., to automatically discover a ..."
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a process model by observing events recorded by some system or to check the conformance of a given model by comparing it with reality. In this article, we focus on process discovery, i.e., extracting a process model from an event log. We focus on Petri nets as a representation language, because
A New Approach for Discovering Business Process Models From Event Logs
, 716
"... Process mining is the automated acquisition of process models from the event logs of information systems. Although process mining has many useful applications, not all inherent difficulties have been sufficiently solved. A first difficulty is that process mining is often limited to a setting of non- ..."
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Process mining is the automated acquisition of process models from the event logs of information systems. Although process mining has many useful applications, not all inherent difficulties have been sufficiently solved. A first difficulty is that process mining is often limited to a setting of non
Discovering workflow patterns from timed logs
- In EMISA 2004, Informationssysteme im E-Business und E-Government, Beiträge des Workshops der GI-Fachgruppe EMISA, LNI
, 2004
"... Abstract: Traditionally, workflow modeling is typically done by interviews or questionnaires which stay quite limited for the acquisition of workflow models and their adaptation to changing requirements. In order to build such model, this paper proposes to “reverse the process”. The approach, we pro ..."
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Cited by 4 (2 self)
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propose, is able to acquire workflow model from workflow log, which contains information about execution events. This paper presents a mining technique to discover workflows patterns (e.g. Sequence, Parallel split, Exclusive choice, etc.) from workflow event log in the objective to build a global workflow
Rediscovering Workflow Models from Event-Based Data using Little Thumb.
- Integrated Computer-Aided Engineering,
, 2003
"... Abstract Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and typically, there are discrepancies bet ..."
Abstract
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Cited by 82 (20 self)
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between the actual workflow processes and the processes as perceived by the management. Therefore, we propose a technique for rediscovering workflow models. T his technique uses workflow logs to discover the workflow process as it is actually being executed. The workflow log contains information about
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 ..."
Abstract
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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
MINING OF USERS’ ACCESS BEHAVIOUR FOR FREQUENT SEQUENTIAL PATTERN FROM WEB LOGS
, 2010
"... Sequential Pattern mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. The task of discovering frequent sequences is challenging, because the algorithm needs to pro ..."
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to process a combinatorially explosive number of possible sequences. Discovering hidden information from Web log data is called Web usage mining. One common usage in web applications is the mining of users ’ access behaviour for the purpose of predicting and hence pre-fetching the web pages that the user
Discovering and Navigating a Collection of Process Models using Multiple Quality Dimensions
"... Abstract. Process discovery algorithms typically aim at discovering a process model from an event log that best describes the recorded be-havior. However, multiple quality dimensions can be used to evaluate a process model. In previous work we showed that there often is not one single process model ..."
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Abstract. Process discovery algorithms typically aim at discovering a process model from an event log that best describes the recorded be-havior. However, multiple quality dimensions can be used to evaluate a process model. In previous work we showed that there often is not one single process model
Process Mining: Using CPN Tools to Create Test Logs for Mining Algorithms
- Proceedings of the Sixth Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools
, 2005
"... Process mining aims at automatically generating process models from event logs. The main idea is to use the discovered models as an objective start point to deploy systems that support the execution of business processes (for instance, workflow management systems) or as a feedback mechanism to check ..."
Abstract
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Cited by 21 (1 self)
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Process mining aims at automatically generating process models from event logs. The main idea is to use the discovered models as an objective start point to deploy systems that support the execution of business processes (for instance, workflow management systems) or as a feedback mechanism
Results 1 - 10
of
179
