TY  - BOOK
AU  - Ceravolo,Paolo
AU  - Russo,Barbara
AU  - Accorsi,Rafael
ED  - SpringerLink (Online service)
TI  - Data-Driven Process Discovery and Analysis: 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers 
T2  - Lecture Notes in Business Information Processing,
SN  - 9783319272436
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer Science
KW  - Management information systems
KW  - Industrial management
KW  - Data mining
KW  - Application software
KW  - Data Mining and Knowledge Discovery
KW  - Business Process Management
KW  - Information Systems Applications (incl. Internet)
KW  - Computer Appl. in Administrative Data Processing
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-27243-6
ER  -