Analysis of Event Logs: Behavioral Graphs
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F14%3A%230002781" target="_blank" >RIV/47813059:19520/14:#0002781 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of Event Logs: Behavioral Graphs
Popis výsledku v původním jazyce
Analysis of event logs is very important discipline used for the evaluation of performance and control-flow issues within the systems. This type of analysis is typically used in process mining sphere, where information systems, for example workflow management systems, enterprise resource planning systems, customer relationship management, supply chain management systems, and business to business systems record transactions and executed activities in a systematic way. Social network analysis takes part of process mining techniques, focused on activity performers, on users. The authors present a new approach to analysis of user behavior in the systems. The approach allows to find behavioral patterns and to find groups of users with similar behavior. An observer can obtain relations between the users on the basis of their similar behavior. The visualization of relations between the users is then presented by so called behavioral graphs. The approach was tested for event log analysis of a
Název v anglickém jazyce
Analysis of Event Logs: Behavioral Graphs
Popis výsledku anglicky
Analysis of event logs is very important discipline used for the evaluation of performance and control-flow issues within the systems. This type of analysis is typically used in process mining sphere, where information systems, for example workflow management systems, enterprise resource planning systems, customer relationship management, supply chain management systems, and business to business systems record transactions and executed activities in a systematic way. Social network analysis takes part of process mining techniques, focused on activity performers, on users. The authors present a new approach to analysis of user behavior in the systems. The approach allows to find behavioral patterns and to find groups of users with similar behavior. An observer can obtain relations between the users on the basis of their similar behavior. The visualization of relations between the users is then presented by so called behavioral graphs. The approach was tested for event log analysis of a
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
15 International Conference on Web Information System Engineering
ISBN
978-960-9502-17-7
ISSN
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e-ISSN
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Počet stran výsledku
14
Strana od-do
49-62
Název nakladatele
Neuvedeno
Místo vydání
Thessaloniki, Greece
Místo konání akce
Thessaloniki, Greece
Datum konání akce
12. 10. 2014
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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