@inproceedings{e417f157557043c5852d594ccff5240d,
title = "Detecting Business Process Anomaly Using Graph Similarity Based on Dice Coefficient, Vertex Ranking and Spearman Method",
abstract = "Graph similarity is a method to check the graphic equations between two graphs. Anomaly detection in a business process can use the graph similarity method as well. The graph of the ongoing business process compared to the Standard Operating Procedure's graph (SOP's graph) as a reference. Standard Operating Procedures (SOPs) can definitely as a benchmark of a company running a business process. In this study, the case taken to detect anomaly of business processes in the process of replacing parts in wireless device distributors. The method used is dice coefficient to detect vertex or edge overlap and vertex ranking using the Spearman method to detect missing or altered vertices. The result of detecting business process anomaly using dice coefficient found three business process anomalies. While in the vertex ranking method using Spearman coefficient found two anomalies. Anomalies were found in vertex ranking method are the same as the expert judgement's results.",
keywords = "Spearman method, Vertex Ranking, graph similarity;business process anomaly;dice coefficient",
author = "Cecilia Stephanie and Riyanarto Sarno",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018 ; Conference date: 21-09-2018 Through 22-09-2018",
year = "2018",
month = nov,
day = "27",
doi = "10.1109/ISEMANTIC.2018.8549830",
language = "English",
series = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "171--176",
booktitle = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication",
address = "United States",
}