Graphameleon: Relational Learning and Anomaly Detection on Web Navigation Traces Captured as Knowledge Graphs

Author:

Tailhardat Lionel1ORCID,Stach Benjamin2ORCID,Chabot Yoan3ORCID,Troncy Raphaël4ORCID

Affiliation:

1. Orange & EURECOM, Châtillon, France

2. Orange & UTBM, Belfort, France

3. Orange, Belfort, France

4. EURECOM, Sophia Antipolis, France

Publisher

ACM

Reference17 articles.

1. Wil Aalst, A. Weijters. 2004. Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering (2004).

2. Alessandro Berti, Sebastiaan van Zelst, and Wil van der Aalst. 2019. Process Mining for Python (pm4py): Bridging the Gap between Process-and Data Science. In Proceedings of the ICPM Demo Track 2019, co-located with 1st International Conference on Process Mining (ICPM 2019).

3. Amélie Cordier, Marie Lefevre, Pierre-Antoine Champin, Olivier Georgeon, and Alain Mille. 2013. Trace-Based Reasoning - Modeling Interaction Traces for Reasoning on Experiences. In The 26th International FLAIRS Conference.

4. Anastasia Dimou, Miel Vander Sande, Pieter Colpaert, Ruben Verborgh, Erik Mannens, and Rik Van de Walle. 2014. RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data. In Proceedings of the Workshop on Linked Data on the Web, LDOW 2014, co-located with the 23???? International World Wide Web Conference (WWW 2014). CEUR-WS.org.

5. Maria Carla Calzarossa and Luisa Massari. 2014. Analysis of Header Usage Patterns of HTTP Request Messages. In IEEE International Conference on High Performance Computing and Communication.

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