Titlebook: Data-Driven Process Discovery and Analysis; 7th IFIP WG 2.6 Inte Paolo Ceravolo,Maurice van Keulen,Kilian Stoffel Conference proceedings 20

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书目名称Data-Driven Process Discovery and Analysis影响因子(影响力)




书目名称Data-Driven Process Discovery and Analysis影响因子(影响力)学科排名




书目名称Data-Driven Process Discovery and Analysis网络公开度




书目名称Data-Driven Process Discovery and Analysis网络公开度学科排名




书目名称Data-Driven Process Discovery and Analysis被引频次




书目名称Data-Driven Process Discovery and Analysis被引频次学科排名




书目名称Data-Driven Process Discovery and Analysis年度引用




书目名称Data-Driven Process Discovery and Analysis年度引用学科排名




书目名称Data-Driven Process Discovery and Analysis读者反馈




书目名称Data-Driven Process Discovery and Analysis读者反馈学科排名

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A Report-Driven Approach to Design Multidimensional Models,output. The approach is able to generate the multidimensional model and populate the data warehouse by defining a knowledge base specific to the domain. Although the use of semantic information in data storage is not new, the novel contribution of our approach is represented by the idea of simplifyi

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Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction,provided as an input to semantic process mining..The approach has been tested in the medical domain of stroke care, where we show how the abstraction mechanism allows the user to mine process models that are easier to interpret, since unnecessary details are hidden, but key behaviors are clearly visible.

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Introduction: Conceptualization,nt events. The introduced approach allows the use of general relations between event attributes by means of freeze quantifiers as well as future and past temporal operators. The paper also presents a decision procedure, as well as a study of its computational complexity.