| 書目名稱 | Conformance Checking and Diagnosis in Process Mining |
| 副標(biāo)題 | Comparing Observed a |
| 編輯 | Jorge Munoz-Gama |
| 視頻video | http://file.papertrans.cn/236/235427/235427.mp4 |
| 概述 | Revised version of a PhD dissertation in process mining.Won the "Best Process Mining Dissertation Award", assigned by the IEEE Task Force on Process Mining.Deals with conformance checking, one of the |
| 叢書名稱 | Lecture Notes in Business Information Processing |
| 圖書封面 |  |
| 描述 | .Process mining techniques can be used to discover, analyze and improve real processes, by extracting models from observed behavior. The aim of this book is conformance checking, one of the main areas of process mining. In conformance checking, existing process models are compared with actual observations of the process in order to assess their quality. Conformance checking techniques are a way to visualize the differences between assumed process represented in the model and the real process in the event log, pinpointing possible problems to address, and the business process management results that rely on these models.. This book combines both application and research perspectives. It provides concrete use cases that illustrate the problems addressed by the techniques in the book, but at the same time, it contains complete conceptualization and formalization of the problem and the techniques, and through evaluations on the quality and the performance of the proposed techniques. Hence, this book brings the opportunity for business analysts willing to improve their organization processes, and also data scientists interested on the topic of process-oriented data science.. |
| 出版日期 | Book 2016 |
| 關(guān)鍵詞 | process mining; business process management; business intelligence; data mining; conformance checking |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-49451-7 |
| isbn_softcover | 978-3-319-49450-0 |
| isbn_ebook | 978-3-319-49451-7Series ISSN 1865-1348 Series E-ISSN 1865-1356 |
| issn_series | 1865-1348 |
| copyright | Springer International Publishing AG 2016 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-8 02:53
發(fā)表于 2025-3-21 16:52:51
