Ghent University Academic Bibliography

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Applications of fuzzy rough set theory in machine learning: a survey

Sarah Vluymans (UGent) , Lynn D'eer (UGent) , Yvan Saeys (UGent) and Chris Cornelis (UGent)

(2015) FUNDAMENTA INFORMATICAE. 142(1-4). p.53-86
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Approximation operators, binary relation and basis algebra in L-fuzzy rough sets

Zhengjiang Wu, Keyun Qin, Tianrui Li and Da Ruan (UGent)

(2011) FUNDAMENTA INFORMATICAE. 111(1). p.47-63
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Solvability of the halting and reachability problem for binary 2-tag systems

Liesbeth De Mol (UGent)

(2010) Fundamenta Informaticae. 99(4). p.435-471
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Predicting website audience demographics for web advertising targeting using multi-website clickstream data

Koen De Bock (UGent) and Dirk Van den Poel (UGent)

(2010) FUNDAMENTA INFORMATICAE. 98(1). p.49-70
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- Journal Article
- A1
An incremental approach for inducing knowledge from dynamic information systems

Dun Liu, Tianrui Li, Da Ruan (UGent) and Weili Zou

(2009) FUNDAMENTA INFORMATICAE. 94(2). p.245-260
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- Journal Article
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An integration of cloud transform and rough set theory to induction of decision trees

Jing Song, Tianrui Li and Da Ruan (UGent)

(2009) FUNDAMENTA INFORMATICAE. 94(2). p.261-273
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- Journal Article
- A1
Exploiting the lattice of ideals representation of a poset

Karel De Loof (UGent) , Hans De Meyer (UGent) and Bernard De Baets (UGent)

(2006) FUNDAMENTA INFORMATICAE. 71(2-3). p.309-321

Academic Bibliography

Applications of fuzzy rough set theory in machine learning: a survey

Approximation operators, binary relation and basis algebra in L-fuzzy rough sets

Solvability of the halting and reachability problem for binary 2-tag systems

Predicting website audience demographics for web advertising targeting using multi-website clickstream data

An incremental approach for inducing knowledge from dynamic information systems

An integration of cloud transform and rough set theory to induction of decision trees

Exploiting the lattice of ideals representation of a poset

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