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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data-Driven Process Discovery and Analysis/ edited by Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma.
Reminder of title:	6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers /
other author:	Ceravolo, Paolo.
Description:	IX, 97 p. 46 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	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 Analysis6th 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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