Data-Driven Process Discovery and Analysis

Paolo Ceravolo

ISBN 10: 331927242X / ISBN 13: 9783319272429

Published by Springer International Publishing, Springer International Publishing Dez 2015, 2015

About this Item

Neuware -This book constitutes the thoroughlyrefereed proceedings of the Fourth InternationalSymposium on Data-Driven Process Discovery and Analysis held in Riva del MilanItaly, in November 2014.The five revised full papers were carefully selected from21 submissions. Following the event, authors weregiven the opportunity to improve their papers with the insights they gainedfrom the symposium. During this edition, the presentations and discussionsfrequently focused on the implementation of process mining algorithms incontexts where the analytical process is fed by data streams. The selectedpapers underline the most relevant challenges identified and propose novelsolutions and approaches for their solution.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 136 pp. Englisch.

Seller Inventory # 9783319272429

Bibliographic Details

• Title: Data-Driven Process Discovery and Analysis
• Publisher: Springer International Publishing, Springer International Publishing Dez 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 331927242X
• ISBN 13: 9783319272429
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 8D millimeters 235 millimeters width by 155 millimeters height by 8 millimeters depth
• Weight: 219 grams

About this title

Synopsis

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.