Ghent University Academic Bibliography

Your filters: cql: author="Spyropoulou, Eirini" or (type any "bookEditor issueEditor" and editor="Spyropoulou, Eirini")

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Subjective interestingness of subgraph patterns

Matthijs van Leeuwen, Tijl De Bie (UGent) , Eirini Spyropoulou and Cédric Mesnage

(2016) MACHINE LEARNING. 105(1). p.41-75
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P-N-RMiner : a generic framework for mining interesting structured relational patterns

Jefrey Lijffijt (UGent) , Eirini Spyropoulou, Bo Kang (UGent) and Tijl De Bie (UGent)

(2016) INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 1(1). p.61-76
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SuMoTED : an intuitive edit distance between rooted unordered uniquely-labelled trees

Matt McVicar, Benjamin Sach, Cedric Mesnage, Jefrey Lijffijt (UGent) , Eirini Spyropoulou and Tijl De Bie (UGent)

(2016) PATTERN RECOGNITION LETTERS. 79. p.52-59
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P-N-RMiner : a generic framework for mining interesting structured relational patterns

Jefrey Lijffijt (UGent) , Eirini Spyropoulou, Bo Kang (UGent) and Tijl De Bie (UGent)

(2015) PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015). p.519-528
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Mining approximate multi-relational patterns

Eirini Spyropoulou and Tijl De Bie (UGent)

(2014) International Conference on Data Science and Advanced Analytics, Proceedings.
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Interesting pattern mining in multi-relational data

Eirini Spyropoulou, Tijl De Bie (UGent) and Mario Boley

(2014) DATA MINING AND KNOWLEDGE DISCOVERY. 28(3). p.808-849
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A theoretical framework for exploratory data mining: recent insights and challenges ahead

Tijl De Bie (UGent) and Eirini Spyropoulou

(2013) LECTURE NOTES IN COMPUTER SCIENCE. 8190. p.612-616
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Mining interesting patterns in multi-relational data with N-ary relationships

Eirini Spyropoulou, Tijl De Bie (UGent) and Mario Boley

(2013) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 8140. p.217-232
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Knowledge discovery interestingness measures based on unexpectedness

Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou and Tijl De Bie (UGent)

(2012) WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY. 2(5). p.386-399
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Interesting multi-relational patterns

Eirini Spyropoulou and Tijl De Bie (UGent)

(2011) 11th International Conference on Data Mining, Proceedings. p.675-684

Academic Bibliography

Subjective interestingness of subgraph patterns

P-N-RMiner : a generic framework for mining interesting structured relational patterns

SuMoTED : an intuitive edit distance between rooted unordered uniquely-labelled trees

P-N-RMiner : a generic framework for mining interesting structured relational patterns

Mining approximate multi-relational patterns

Interesting pattern mining in multi-relational data

A theoretical framework for exploratory data mining: recent insights and challenges ahead

Mining interesting patterns in multi-relational data with N-ary relationships

Knowledge discovery interestingness measures based on unexpectedness

Interesting multi-relational patterns

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