Titlebook: Data-Driven Process Discovery and Analysis; 5th IFIP WG 2.6 Inte Paolo Ceravolo,Stefanie Rinderle-Ma Conference proceedings 2017 IFIP Inter

cerebellum

書目名稱Data-Driven Process Discovery and Analysis影響因子(影響力)




書目名稱Data-Driven Process Discovery and Analysis影響因子(影響力)學(xué)科排名




書目名稱Data-Driven Process Discovery and Analysis網(wǎng)絡(luò)公開度




書目名稱Data-Driven Process Discovery and Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data-Driven Process Discovery and Analysis被引頻次




書目名稱Data-Driven Process Discovery and Analysis被引頻次學(xué)科排名




書目名稱Data-Driven Process Discovery and Analysis年度引用




書目名稱Data-Driven Process Discovery and Analysis年度引用學(xué)科排名




書目名稱Data-Driven Process Discovery and Analysis讀者反饋




書目名稱Data-Driven Process Discovery and Analysis讀者反饋學(xué)科排名

沉思的魚

Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Studyes that allow businesses to understand and improve their processes. One of the most common applications of BPI is ., which consists on the structured generation of information (i.e., reports) from raw data. In this article, state-of-the-art process mining techniques are used to periodically produce

嬰兒

Detecting Changes in Process Behavior Using Comparative Case Clustering,ntinuously evolve over time. For example, in the healthcare domain, advances in medicine trigger changes in diagnoses and treatment processes. Case data (e.g. treating physician, patient age) also influence how processes are executed. Existing . techniques assume processes to be static and therefore

eucalyptus

Using Domain Knowledge to Enhance Process Mining Results,ithout allowing the domain expert to influence the discovery in any way. However, the user may have certain domain expertise which should be exploited to create better process models. In this paper, we address this issue of incorporating domain knowledge to improve the discovered process model. Firs

殺死

arousal

arousal

名詞

A Relational Data Warehouse for Multidimensional Process Mining,ibutes. For each sublog, a separated process model is discovered and compared to other models to identify group-specific differences for the process. For an effective explorative process analysis, performance is vital due to the explorative characteristics of the analysis. We propose to adopt well-e

淘氣

減去