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Eirini Spyropoulou
Eirini Spyropoulou
Verified email at iit.demokritos.gr
Title
Cited by
Cited by
Year
Interesting pattern mining in multi-relational data
E Spyropoulou, T De Bie, M Boley
Data Mining and Knowledge Discovery 28 (3), 808-849, 2014
522014
Subjective interestingness of subgraph patterns
M van Leeuwen, T De Bie, E Spyropoulou, C Mesnage
Machine Learning 105, 41-75, 2016
432016
FiNER: Financial numeric entity recognition for XBRL tagging
L Loukas, M Fergadiotis, I Chalkidis, E Spyropoulou, P Malakasiotis, ...
arXiv preprint arXiv:2203.06482, 2022
412022
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
412012
A framework for mining interesting pattern sets
T De Bie, KN Kontonasios, E Spyropoulou
ACM SIGKDD Explorations Newsletter 12 (2), 92-100, 2011
412011
Interesting multi-relational patterns
E Spyropoulou, T De Bie
2011 IEEE 11th International Conference on Data Mining, 675-684, 2011
352011
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
162016
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
142016
Mining interesting patterns in multi-relational data with n-ary relationships
E Spyropoulou, T De Bie, M Boley
International Conference on Discovery Science, 217-232, 2013
132013
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
122013
Mining approximate multi-relational patterns
E Spyropoulou, T De Bie
2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014
82014
Sdqnet: Semantic distributed querying in loosely coupled data sources
E Spyropoulou, T Dalamagas
East European Conference on Advances in Databases and Information Systems, 55-70, 2006
62006
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
42021
Mining interesting patterns in multi-relational data
E Spyropoulou, T De Bie, B Mario
32013
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
22015
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
MAGNEx: A Model Agnostic Global Neural Explainer
N Manginas, P Malakasiotis, E Spyropoulou, I Androutsopoulos, ...
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
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