Print Email Facebook Twitter Analyzing Vessel Behavior Using Process Mining Title Analyzing Vessel Behavior Using Process Mining Author Maggi, F.M. Mooij, A.J. van der Aalst, W.M.P. Contributor van de Laar, P.J.L.J. (editor) Tretmans, G.J. (editor) Borth, M. (editor) Publication year 2013 Abstract In the maritime domain, electronic sensors such as AIS receivers and radars collect large amounts of data about the vessels in a certain geographical area. We investigate the use of process mining techniques for analyzing the behavior of the vessels based on these data. In the context of maritime safety and security, the goal is to support operators in identifying suspicious behavior that may indicate accidents or undesired activities such as smuggling and piracy. Our approach consists of two phases. In the first phase, process mining is used offline to extract from historical data a reference model of the normal vessel behavior, which can be adapted by experienced operators and domain experts. In the second phase, process mining is used online to verify whether the current vessel behavior is compliant with the reference model, thus allowing for the identification of suspicious behavior. Subject Communication & InformationESI - Embedded Systems InnovationTS - Technical SciencesSafety and SecurityDefenceDefence, Safety and SecuritySituational awarenessMaritime environmentsSafety and securityAutomatic identification systems AISMining techniquesSuspicious behavior To reference this document use: http://resolver.tudelft.nl/uuid:f88166be-7004-4b40-8c3b-fd78f833e7ca DOI https://doi.org/10.1007/978-1-4614-6230-9_9 TNO identifier 471372 Publisher Springer, New York ISBN 9781461462309 Source Situation Awareness with Systems of Systems, 133-148 Document type bookPart Files To receive the publication files, please send an e-mail request to TNO Library.