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Kleanthis-Nikolaos Kontonasios

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2010 – 2019

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2015
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Kleanthis-Nikolaos Kontonasios, Tijl De Bie:
Subjectively interesting alternative clusterings. Mach. Learn. 98(1-2): 31-56 (2015)
2013
[b1]
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Kleanthis-Nikolaos Kontonasios:
Maximum entropy modelling for quantifying unexpectedness of data mining results. University of Bristol, UK, 2013
[c4]
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Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie:
Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data. ECML/PKDD (2) 2013: 256-271
2012
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  - journals/widm/KontonasiosSB12
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Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou, Tijl De Bie:
Knowledge discovery interestingness measures based on unexpectedness. WIREs Data Mining Knowl. Discov. 2(5): 386-399 (2012)
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Kleanthis-Nikolaos Kontonasios, Tijl De Bie:
Formalizing Complex Prior Information to Quantify Subjective Interestingness of Frequent Pattern Sets. IDA 2012: 161-171
2011
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Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie:
Maximum Entropy Modelling for Assessing Results on Real-Valued Data. ICDM 2011: 350-359
2010
[j1]
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Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou:
A framework for mining interesting pattern sets. SIGKDD Explor. 12(2): 92-100 (2010)
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Kleanthis-Nikolaos Kontonasios, Tijl De Bie:
An Information-Theoretic Approach to Finding Informative Noisy Tiles in Binary Databases. SDM 2010: 153-164

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