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Data-Driven Process Discovery and Analysis = 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data-Driven Process Discovery and Analysis/ edited by Paolo Ceravolo, Barbara Russo, Rafael Accorsi.
Reminder of title:	4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers /
other author:	Ceravolo, Paolo.
Description:	IX, 123 p. 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-319-27243-6
ISBN:	9783319272436

Data-Driven Process Discovery and Analysis = 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers /
Data-Driven Process Discovery and Analysis4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers /[electronic resource] :edited by Paolo Ceravolo, Barbara Russo, Rafael Accorsi. - 1st ed. 2015. - IX, 123 p. 56 illus. in color.online resource. - Lecture Notes in Business Information Processing,2371865-1348 ;. - Lecture Notes in Business Information Processing,206.

Discovery of Frequent Episodes in Event Logs -- Finding Suitable Activity Clusters for Decomposed Process Discovery -- History-based Construction of Alignments for Conformance Checking: Formalization and Implementation? -- Dynamic Constructs Competition Miner - Occurrence vs. Time-based Ageing -- Trustworthy Cloud Certification: A Model-Based Approach.

This book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014. The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution.

ISBN: 9783319272436

Standard No.: 10.1007/978-3-319-27243-6doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data-Driven Process Discovery and Analysis = 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers /
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