Analysis of SAP Log Data Based on Network Community Decomposition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244304" target="_blank" >RIV/61989100:27240/19:10244304 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2078-2489/10/3/92/htm" target="_blank" >https://www.mdpi.com/2078-2489/10/3/92/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/info10030092" target="_blank" >10.3390/info10030092</a>

Result language

angličtina

Original language name

Analysis of SAP Log Data Based on Network Community Decomposition

Original language description

Information systems support and ensure the practical running of the most critical business processes. There exists (or can be reconstructed) a record (log) of the process running in the information system. Computer methods of data mining can be used for analysis of process data utilizing support techniques of machine learning and a complex network analysis. The analysis is usually provided based on quantitative parameters of the running process of the information system. It is not so usual to analyze behavior of the participants of the running process from the process log. Here, we show how data and process mining methods can be used for analyzing the running process and how participants behavior can be analyzed from the process log using network (community or cluster) analyses in the constructed complex network from the SAP business process log. This approach constructs a complex network from the process log in a given context and then finds communities or patterns in this network. Found communities or patterns are analyzed using knowledge of the business process and the environment in which the process operates. The results demonstrate the possibility to cover up not only the quantitative but also the qualitative relations (e.g., hidden behavior of participants) using the process log and specific knowledge of the business case.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Information

ISSN

2078-2489

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

25

Pages from-to

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UT code for WoS article

000464294500001

EID of the result in the Scopus database

2-s2.0-85063871014