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

This book constitutes the thoroughlyrefereed proceedings of the Fourth InternationalSymposium on Data-Driven Process Discovery and Analysis held in Riva del Milan,Italy, 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.

List of contents

Discovery of Frequent Episodes inEvent Logs.- Finding SuitableActivity Clusters for Decomposed Process Discovery.- History-based Construction of Alignments for ConformanceChecking: Formalization and Implementation?.- Dynamic Constructs Competition Miner - Occurrence vs.Time-based Ageing.- Trustworthy Cloud Certification: A Model-BasedApproach.

Product details

• Assisted by: Rafael Accorsi (Editor), Paolo Ceravolo (Editor), Barbara Russo (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 12.12.2015
• EAN: 9783319272429
• ISBN: 978-3-31-927242-9
• No. of pages: 123
• Dimensions: 155 mm x 236 mm x 7 mm
• Weight: 219 g
• Illustrations: IX, 123 p. 56 illus. in color.
• Series: Lecture Notes in Business Information Processing
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Data Mining, computer science, Information Retrieval, Business Process Management, Public Administration, Information Systems Applications (incl. Internet), Computer and Information Systems Applications, Application software, Data Mining and Knowledge Discovery, Management information systems, Business mathematics & systems, Information technology: general issues, Industrial Management, Internet searching, Expert systems / knowledge-based systems, Computer Appl. in Administrative Data Processing, Computer Application in Administrative Data Processing