Information Systems Frontiers, Volume (18), No (3), Year (2016-6) , Pages (1-21)

Title : ( Mining variable fragments from process event logs )

Authors: Asef Pourmasoumi Hassankiadeh , mohsen kahani , E. Bagheri ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Many peer-organizations are now using process-aware information systems for managing their organizational processes. Most of these peer-organizations have shared processes, which include many commonalities and some degrees of variability. Analyzing and mining the commonalities of these processes can have many benefits from the reusability point of view. In this paper, we propose an approach for extracting common process fragments from a collection of event logs. To this end, we first analyze the process fragment literature from a theoretical point of view, based on which we present a new process fragment definition, called morphological fragments to support composability and flexibility. Then we propose a novel algorithm for extracting such morphological fragments directly from process event logs. This algorithm is capable of eliciting common fragments from a family of processes that may not have been executed within the same application/organization. We also propose supporting algorithms for detecting and categorizing morphological fragments for the purpose of reusability. Our empirical studies show that our approach is able to support reusability and flexibility in process fragment identification.


Process fragmentsMorphological fragmentsEvent logsCross organizational miningReusable
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

author = {Pourmasoumi Hassankiadeh, Asef and Kahani, Mohsen and E. Bagheri},
title = {Mining variable fragments from process event logs},
journal = {Information Systems Frontiers},
year = {2016},
volume = {18},
number = {3},
month = {June},
issn = {1387-3326},
pages = {1--21},
numpages = {20},
keywords = {Process fragmentsMorphological fragmentsEvent logsCross organizational miningReusable fragments},


%0 Journal Article
%T Mining variable fragments from process event logs
%A Pourmasoumi Hassankiadeh, Asef
%A Kahani, Mohsen
%A E. Bagheri
%J Information Systems Frontiers
%@ 1387-3326
%D 2016