TY - GEN
T1 - Process Histories - Detecting and Representing Concept Drifts Based on Event Streams
AU - Stertz, Florian
AU - Rinderle-Ma, Stefanie
N1 - Publisher Copyright:
© 2018, Springer Nature Switzerland AG.
PY - 2018
Y1 - 2018
N2 - Business processes have to constantly adapt in order to react to changes induced by, e.g., new regulations or customer needs resulting in so called concept drifts. By now techniques to detect concept drifts are applied on process execution logs ex post, i.e., after the process is finished. However, detecting concept drifts during run-time bears many benefits such as instant reaction to the concept drift. Introducing process histories as a novel way to detect and represent incremental, sudden, recurring, and gradual concept drifts through mining the evolution of a process model based on an event stream will face this challenge. Therefore, a formal definition of process histories is given, the concept of process histories is prototypically implemented and compared with existing approaches based on a synthetic event log.
AB - Business processes have to constantly adapt in order to react to changes induced by, e.g., new regulations or customer needs resulting in so called concept drifts. By now techniques to detect concept drifts are applied on process execution logs ex post, i.e., after the process is finished. However, detecting concept drifts during run-time bears many benefits such as instant reaction to the concept drift. Introducing process histories as a novel way to detect and represent incremental, sudden, recurring, and gradual concept drifts through mining the evolution of a process model based on an event stream will face this challenge. Therefore, a formal definition of process histories is given, the concept of process histories is prototypically implemented and compared with existing approaches based on a synthetic event log.
KW - Concept drift
KW - Event streams
KW - Process histories
KW - Process mining
KW - Runtime
UR - http://www.scopus.com/inward/record.url?scp=85055793822&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02610-3_18
DO - 10.1007/978-3-030-02610-3_18
M3 - Conference contribution
AN - SCOPUS:85055793822
SN - 9783030026097
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 318
EP - 335
BT - On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences
A2 - Proper, Henderik A.
A2 - Meersman, Robert
A2 - Ardagna, Claudio Agostino
A2 - Panetto, Hervé
A2 - Debruyne, Christophe
A2 - Roman, Dumitru
PB - Springer Verlag
T2 - Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018
Y2 - 22 October 2018 through 26 October 2018
ER -