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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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書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis
副標(biāo)題7th IFIP WG 2.6 Inte
編輯Paolo Ceravolo,Maurice van Keulen,Kilian Stoffel
視頻videohttp://file.papertrans.cn/264/263315/263315.mp4
叢書(shū)名稱(chēng)Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Data-Driven Process Discovery and Analysis; 7th IFIP WG 2.6 Inte Paolo Ceravolo,Maurice van Keulen,Kilian Stoffel Conference proceedings 20
描述.This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium? on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. . The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application..
出版日期Conference proceedings 2019
關(guān)鍵詞BPM; Business Process Management; Data Mining; Process Analysis; Process Mining
版次1
doihttps://doi.org/10.1007/978-3-030-11638-5
isbn_softcover978-3-030-11637-8
isbn_ebook978-3-030-11638-5Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightIFIP International Federation for Information Processing 2019
The information of publication is updating

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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.
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