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This paper is devoted to an introduction to Process Mining, describes the basic algorithms and the link between Data Mining and Process Mining. It also describes the connection Process Mining and practical usage.
A lot of knowledge has been accumulated and documented in the form of process models, standards, best practices, etc. The knowledge tells how a high quality software process should look like, in other words, which constrains should be fulfilled by a software process to assure high quality software products. Compliance checking for a predefined process against proper constrains is helpful to quality...
We describe a model-driven translation approach between semantic Web service based business process models in the context of the SUPER project. In SUPER we provide a set of business process ontologies for enabling access to the business process space inside the organisation at the semantic level. One major task in this context is to handle the translations between the provided ontologies in order...
Diagnosis for delay defects becomes more significant as the CMOS process advances to nanometer regime. The most challenging problems of delay fault diagnosis in nanometer process come from the process variation, which results in small delay variations. Small delay variations are difficult to be diagnosed by using existing methods based on a specific fault model. This paper presents a new estimation...
Business processes are captured by models that serve as a basis for communication and training purposes, but this modeling is still a time consuming manual job. Semantic annotation of process models in combination with AI planning approaches can contribute to solve this drawback enabling an automatic creation of process models. But the semantic annotated process fragments necessary for starting the...
Standard process models like RUP or the German V-Modell XT are developed to be used in an organizational environment. Yet introducing such a process model into an organization is no simple task. It is usually accompanied by either reorganizing internal processes to comply with a standard process model or by adaptation of the process model to organizational structures. The latter is an approach that...
Recently, a new generation of adaptive process management technology has emerged, which enables dynamic changes of composite services and process models respectively. This, in turn, results in a large number of process variants derived from the same process model, but differing in structure due to the applied changes. Since such process variants are expensive to maintain, the process model should...
Operations research and data mining are consistently described in terms of systems theory. Application targets and process models for both paradigms are compared. Three classes of synergies from the integration of the two are distinguished. This classification can serve as a framework for the assessment of approaches at the intersection of operations research and data mining
For today's business organizations, workflow models play important roles in analyzing the productivity, evaluating the performances and costs, optimizing the business operations, and supporting evolving services and products. Workflow mining, the process of empirically extracting structured process descriptions from a set of real executions, thus has attracted a lot of attention recently. However,...
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