| Interesting pattern mining in multi-relational data E Spyropoulou, T De Bie, M Boley Data Mining and Knowledge Discovery 28 (3), 808-849, 2014 | 50 | 2014 |
| Knowledge discovery interestingness measures based on unexpectedness KN Kontonasios, E Spyropoulou, T De Bie Wiley interdisciplinary reviews: data mining and knowledge discovery 2 (5 …, 2012 | 40 | 2012 |
| A framework for mining interesting pattern sets T De Bie, KN Kontonasios, E Spyropoulou ACM SIGKDD Explorations Newsletter 12 (2), 92-100, 2011 | 40 | 2011 |
| Subjective interestingness of subgraph patterns M van Leeuwen, T De Bie, E Spyropoulou, C Mesnage Machine Learning 105, 41-75, 2016 | 37 | 2016 |
| Interesting multi-relational patterns E Spyropoulou, T De Bie 2011 IEEE 11th International Conference on Data Mining, 675-684, 2011 | 34 | 2011 |
| Pn-rminer: a generic framework for mining interesting structured relational patterns J Lijffijt, E Spyropoulou, B Kang, T De Bie International Journal of Data Science and Analytics 1, 61-76, 2016 | 15 | 2016 |
| SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees M McVicar, B Sach, C Mesnage, J Lijffijt, E Spyropoulou, T De Bie Pattern Recognition Letters 79, 52-59, 2016 | 13 | 2016 |
| Mining interesting patterns in multi-relational data with n-ary relationships E Spyropoulou, T De Bie, M Boley Discovery Science: 16th International Conference, DS 2013, Singapore …, 2013 | 13 | 2013 |
| A theoretical framework for exploratory data mining: Recent insights and challenges ahead T De Bie, E Spyropoulou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 11 | 2013 |
| FiNER: Financial numeric entity recognition for XBRL tagging L Loukas, M Fergadiotis, I Chalkidis, E Spyropoulou, P Malakasiotis, ... arXiv preprint arXiv:2203.06482, 2022 | 7 | 2022 |
| Mining approximate multi-relational patterns E Spyropoulou, T De Bie 2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014 | 7 | 2014 |
| Sdqnet: Semantic distributed querying in loosely coupled data sources E Spyropoulou, T Dalamagas Advances in Databases and Information Systems: 10th East European Conference …, 2006 | 6 | 2006 |
| Supply and demand of independent UK music artists on the web M McVicar, C Mesnage, J Lijffijt, E Spyropoulou, T De Bie Proceedings of the ACM Web Science Conference, 1-2, 2015 | 2 | 2015 |
| Tijl De Bie, and Mario Boley (2013).“Interesting pattern mining in multirelational data”. English E Spyropoulou Data Min. Knowl. Discov. April, 1-42, 0 | 2 | |
| System and method for automatically tagging documents EP Loukas, E Spyropoulou, P Malakasiotis, E Fergadiotis, I Chalkidis, ... US Patent App. 17/873,932, 2023 | | 2023 |
| Financial misstatement detection: a realistic evaluation E Zavitsanos, D Mavroeidis, K Bougiatiotis, E Spyropoulou, L Loukas, ... Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | | 2021 |
| Anomaly Detection on User-Agent Strings E Spyropoulou, J Noble, C Anagnostopoulos Data Science for Cyber-Security, 127-143, 2019 | | 2019 |
| Methods and systems for communicating information to a user E Spyropoulou, Y Jin, M Sooriyabandara US Patent App. 15/546,318, 2018 | | 2018 |
| Making Sense of (Multi-) Relational Data J Lijffijt, E Spyropoulou, T De Bie | | 2015 |
| A generalised clustering coefficient quantifying long range clustering of networks E Spyropoulou, T De Bie | | 2010 |
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
