Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Mining Patterns Using Business Process Management

Mining Patterns Using Business Process Management
View Sample PDF
Author(s): Ishak H. A. Meddah (Oran University of Science and Technology – Mohamed Boudiaf, Algeria) and Khaled Belkadi (Oran University of Science and Technology – Mohamed Boudiaf, Algeria)
Copyright: 2018
Pages: 12
Source title: Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management
Source Author(s)/Editor(s): Reda Mohamed Hamou (Dr. Tahar Moulay University of Saida, Algeria)
DOI: 10.4018/978-1-5225-3004-6.ch005


View Mining Patterns Using Business Process Management on the publisher's website for pricing and purchasing information.


Process mining provides an important bridge between data mining and business process analysis. This technique allows for the extraction of information from event logs. In general, there are two steps in process mining: correlation definition or discovery and then process inference or composition. Firstly, the authors mine small patterns from log traces of two applications; those patterns are the representation of the execution traces of a business process. In this step, the authors use existing techniques. The patterns are represented by finite state automaton or their regular expression. The final model is the combination of only two types of small patterns that are represented by the regular expressions (ab)* and (ab*c)*. Secondly, the authors compute these patterns in parallel and then combine those small patterns using the composition rules. They have two parties. The first is the mine, where the authors discover patterns from execution traces, and the second is the combination of these small patterns. The pattern mining and the composition is illustrated by the automaton existing techniques.

Related Content

Tlou Maggie Masenya, Collence Takaingenhamo Chisita. © 2022. 21 pages.
Mmaphuti Carron Teffo, Ignitia Motjolopane, Tlou Maggie Masenya. © 2022. 18 pages.
Neha Lata, Valentine Joseph Owan. © 2022. 17 pages.
Rexwhite Tega Enakrire, Joseph Kehinde Fasae. © 2022. 13 pages.
Madireng Monyela. © 2022. 18 pages.
Valentine Joseph Owan, Daniel Clement Agurokpon. © 2022. 16 pages.
Nkholedzeni Sidney Netshakhuma. © 2022. 18 pages.
Body Bottom