z-logo
open-access-imgOpen Access
Repairing Event Logs to Enhance the Performance of a Process Mining Model
Author(s) -
Shabnam Shahzadi,
Xianwen Fang,
Usman Shahzad,
Ishfaq Ahmad,
Troon John Benedict
Publication year - 2022
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2022/4741232
Subject(s) - process mining , timestamp , event (particle physics) , process (computing) , computer science , data mining , petri net , data science , business process , process modeling , logging , business process discovery , work in process , business process management , business process modeling , engineering , real time computing , operations management , ecology , physics , algorithm , quantum mechanics , biology , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom