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Data-Driven Process Discovery and Analysis = 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data-Driven Process Discovery and Analysis/ edited by Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma.
其他題名:
6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers /
其他作者:
Ceravolo, Paolo.
面頁冊數:
IX, 97 p. 46 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Data mining. -
電子資源:
https://doi.org/10.1007/978-3-319-74161-1
ISBN:
9783319741611
Data-Driven Process Discovery and Analysis = 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers /
Data-Driven Process Discovery and Analysis
6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers /[electronic resource] :edited by Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma. - 1st ed. 2018. - IX, 97 p. 46 illus.online resource. - Lecture Notes in Business Information Processing,3071865-1348 ;. - Lecture Notes in Business Information Processing,206.
Model and Event Log Reductions to Boost the Computation of Alignments -- Translating BPMN to Business Rules -- Execution-based Model Profiling -- DB-XES: Enabling Process Discovery in the Large -- Extracting Service Process Models from Location Data. .
This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016. The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.
ISBN: 9783319741611
Standard No.: 10.1007/978-3-319-74161-1doiSubjects--Topical Terms:
528622
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Data-Driven Process Discovery and Analysis = 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers /
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