Ghent University Academic Bibliography

Show Sort by

Your filters: cql: issn exact "1384-5810"

Mark
- journalArticle
- A1
- open access
Subjectively interesting connecting trees and forests

Florian Adriaens (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33(4). p.1088-1124
Mark
Multi-target prediction : a unifying view on problems and methods

Willem Waegeman (UGent) , Krzysztof Dembczyński and Eyke Hüllermeier

(2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33(2). p.293-324
Mark
- journalArticle
- A1
- open access
SICA : subjectively interesting component analysis

Bo Kang (UGent) , Jefrey Lijffijt (UGent) , Raúl Santos-Rodríguez and Tijl De Bie (UGent)

(2018) DATA MINING AND KNOWLEDGE DISCOVERY . 32(4). p.949-987
Mark
- journalArticle
- A1
Exceptional model mining: supervised descriptive local pattern mining with complex target concepts

Wouter Duivesteijn (UGent) , Ad J. Feelders and Arno Knobbe

(2016) DATA MINING AND KNOWLEDGE DISCOVERY. 30(1). p.47-98
Mark
- journalArticle
- A1
- open access
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

Michiel Stock (UGent) , Krzysztof Dembczynski, Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2016) DATA MINING AND KNOWLEDGE DISCOVERY. 30(5). p.1370-1394
Mark
- journalArticle
- A1
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences

Jefrey Lijffijt (UGent) , Panagiotis Papapetrou and Kai Puolamaki

(2015) DATA MINING AND KNOWLEDGE DISCOVERY. 29(6). p.1838-1864
Mark
- journalArticle
- A1
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
Mark
- journalArticle
- A1
A statistical significance testing approach to mining the most informative set of patterns

Jefrey Lijffijt (UGent) , Panagiotis Papapetrou and Kai Puolamaki

(2014) DATA MINING AND KNOWLEDGE DISCOVERY. 28(1). p.238-263
Mark
- misc
Guest editors' introduction: special section of selected papers from ECML-PKDD 2012

Tijl De Bie (UGent) and Peter A Flach

(2013) DATA MINING AND KNOWLEDGE DISCOVERY. 27(3). p.442-443
Mark
- journalArticle
- A1
Maximum entropy models and subjective interestingness: an application to tiles in binary databases

Tijl De Bie (UGent)

(2011) DATA MINING AND KNOWLEDGE DISCOVERY. 23(3). p.407-446

Academic Bibliography

Subjectively interesting connecting trees and forests

Multi-target prediction : a unifying view on problems and methods

SICA : subjectively interesting component analysis

Exceptional model mining: supervised descriptive local pattern mining with complex target concepts

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

Size matters: choosing the most informative set of window lengths for mining patterns in event sequences

Interesting pattern mining in multi-relational data

A statistical significance testing approach to mining the most informative set of patterns

Guest editors' introduction: special section of selected papers from ECML-PKDD 2012

Maximum entropy models and subjective interestingness: an application to tiles in binary databases

Contents

Support

Contact