https:\/\/webconf.imt.fr\/frontend\/ley-vie-vfp-32m<\/a><\/p>\n\n\n\nMembres du jury :<\/strong><\/p>\n\n\n\nMme Daniela GRIGORI<\/strong>, Professeure, Universit\u00e9 Paris-Dauphine, FRANCE – Rapporteur
M. Djamal BENSLIMANE<\/strong>, Professeur des universit\u00e9s, Universit\u00e9 Claude Bernard Lyon 1, FRANCE – Rapporteur
M. Walid GAALOUL<\/strong>, Professeur, Telecom SudParis, FRANCE – Directeur de these
M. Mohamedade Farouk NANNE<\/strong>, Professeur, Universit\u00e9 de Nouakchott, MAURITANIE – CoDirecteur de these
M. Kais KLAI<\/strong>, Professeur, Universit\u00e9 Sorbonne Paris Nord, FRANCE – Examinateur
M. Khalil DRIRA<\/strong>, Professeur, Universit\u00e9 de Toulouse, FRANCE – Examinateur
M. Joaquin GARCIA-ALFARO<\/strong>, Professeur, T\u00e9l\u00e9com SudParis, FRANCE – Examinateur<\/p>\n\n\n\nInvit\u00e9:<\/strong><\/p>\n\n\n\nM. Mohamed SELLAMI<\/strong>, Maitre de Conf\u00e9rences, T\u00e9l\u00e9com SudParis, FRANCE – Co-encadrant de th\u00e8se<\/p>\n\n\n\n\u00ab Conjugaison de la Blockchain et L’IoT pour le d\u00e9ploiement et la fouille des proc\u00e9d\u00e9s \u00bb<\/h2>\n\n\n\npr\u00e9sent\u00e9 par Madame Leyla MOCTAR M’BABA<\/h2>\n\n\n\n
R\u00e9sum\u00e9 :<\/strong><\/p>\n\n\n\nBlockchain, initialement utilis\u00e9 en 2009 pour les transactions de cryptomonnaie, a rapidement \u00e9volu\u00e9 au-del\u00e0 des applications financi\u00e8res. La communaut\u00e9 BPM a reconnu son potentiel pour am\u00e9liorer la gestion des processus m\u00e9tier (BPM) et favoriser les collaborations inter-organisationnelles. Malgr\u00e9 des recherches approfondies sur l’ex\u00e9cution des processus d’affaires bas\u00e9s sur la blockchain, l’exploration de donn\u00e9es de la blockchain pour le process mining a r\u00e9cemment commenc\u00e9 \u00e0 \u00eatre explor\u00e9e. Les \u00e9tudes actuelles se concentrent principalement sur les processus centr\u00e9s sur les activit\u00e9s, n\u00e9gligeant souvent les processus centr\u00e9s sur les artefacts pr\u00e9valents dans les applications blockchain. Les formats de journalisation traditionnels comme XES, bien que couramment utilis\u00e9s, rencontrent des d\u00e9fis tels que la perte d’information et la d\u00e9normalisation lorsqu’ils sont appliqu\u00e9s \u00e0 des donn\u00e9es centr\u00e9es sur les artefacts. L’introduction d’OCEL a partiellement abord\u00e9 ces probl\u00e8mes en permettant le stockage de donn\u00e9es d’\u00e9v\u00e9nements centr\u00e9es sur les objets, mais il manque de prise en charge pour l’\u00e9volution et les relations des objets. Cette th\u00e8se rel\u00e8ve ces d\u00e9fis en proposant ACEL, une extension d’OCEL qui prend en charge de mani\u00e8re compl\u00e8te le stockage des donn\u00e9es d’\u00e9v\u00e9nements centr\u00e9es sur les artefacts. Nous pr\u00e9sentons une m\u00e9thode centr\u00e9e sur les artefacts pour recueillir des donn\u00e9es d’\u00e9v\u00e9nements d’applications blockchain, les convertissant en logs ACEL. La viabilit\u00e9 de l’approche est \u00e9valu\u00e9e en utilisant les applications Ethereum Cryptokitties et Augur. Nous comparons d’abord les capacit\u00e9s de process mining d’ACEL avec OCEL, puis introduisons une m\u00e9thode de d\u00e9couverte utilisant le clustering hi\u00e9rarchique et l’analyse du gain d’information pour d\u00e9river des mod\u00e8les GSM, la norme pour les processus centr\u00e9s sur les artefacts. Notre \u00e9valuation sur Cryptokitties confirme la faisabilit\u00e9 de cette approche et met en \u00e9vidence les avantages d’ACEL dans le process mining centr\u00e9 sur les artefacts.
<\/p>\n\n\n\n
Abstract :<\/strong><\/p>\n\n\n\nBlockchain, first utilized in 2009 for cryptocurrency transactions, quickly evolved beyond financial applications. The BPM community recognized its potential for enhancing business process management (BPM) and fostering inter-organizational collaborations. Despite extensive research on blockchain-based business process execution, process mining from blockchain data has recently begun to be explored. Current studies mainly focus on activity-centric processes, often overlooking artifact-centric processes prevalent in blockchain applications. Traditional logging formats like XES, while commonly used, face challenges like information loss and denormalization when applied to artifact-centric data. The introduction of OCEL partially addressed these issues by enabling the storage of object-centric event data, but it lacks support for object evolution and relations. This thesis addresses these challenges by proposing ACEL, an extension of OCEL that comprehensively supports artifact-centric event data storage. We present an artifact-centric method to gather event data from blockchain applications, converting them into ACEL logs. The approach’s viability is assessed using Cryptokitties and Augur Ethereum applications. We initially compare ACEL’s process mining capabilities with OCEL, and then introduce a discovery method using hierarchical clustering and information gain analysis to derive GSM models, the standard for artifact-centric processes. Our evaluation on Cryptokitties confirms the feasibility of this approach and highlights the advantages of ACEL in artifact-centric process mining.<\/p>\n","protected":false},"excerpt":{"rendered":"
Ecole Doctorale de l’Institut Polytechnique de Paris et le Laboratoire de recherche SAMOVAR – Services r\u00e9partis, Architectures, Mod\u00e9lisation, Validation, Administration des R\u00e9seaux pr\u00e9sentent l\u2019AVIS DE SOUTENANCE de Madame Leyla MOCTAR M’BABA Autoris\u00e9e \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de l’Institut Polytechnique de Paris, pr\u00e9par\u00e9 \u00e0 T\u00e9l\u00e9com SudParis en : Informatique \u00ab 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