%0 Conference Proceedings
%T An Impact of the User and Time Parameters to Sequence Alignment Methods for Process Mining
%+ Technical University of Ostrava [Ostrava] (VSB)
%A Štolfa, Jakub
%A Štolfa, Svatopluk
%A Slaninová, Kateřina
%A Martinovič, Jan
%A Snášel, Václav
%Z Part 8: Pattern Recognition and Image Processing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 580-591
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_53
%K Sequence Alignment Methods
%K Process Mining
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Process mining is relatively new domain that opens many opportunities for process control and improvement. Anyway, the basis of the process mining is the examination of bunch of data from processes. There are many methods that already had been used in this domain and many other are still waiting for the discovery of their benefits. One of the main issues is to find out whether the new method is useful or not. The main purpose of this paper is to present the usability of sequence alignment method in process mining especially from the user and time perspective.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405653/document
%2 https://inria.hal.science/hal-01405653/file/978-3-662-45237-0_53_Chapter.pdf
%L hal-01405653
%U https://inria.hal.science/hal-01405653
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM