Arno Knobbe
Arno Knobbe
LIACS, Leiden University
Geverifieerd e-mailadres voor liacs.leidenuniv.nl - Homepage
Geciteerd door
Geciteerd door
Exceptional model mining
D Leman, A Feelders, A Knobbe
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
Exceptional Model Mining: Supervised descriptive local pattern mining with complex target concepts
W Duivesteijn, AJ Feelders, A Knobbe
Data Mining and Knowledge Discovery 30, 47-98, 2016
Diverse subgroup set discovery
M Van Leeuwen, A Knobbe
Data Mining and Knowledge Discovery 25, 208-242, 2012
Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review
FR Goes, LA Meerhoff, MJO Bueno, DM Rodrigues, FA Moura, MS Brink, ...
European Journal of Sport Science 21 (4), 481-496, 2021
Propositionalisation and aggregates
AJ Knobbe, M De Haas, A Siebes
European Conference on Principles of Data Mining and Knowledge Discovery …, 2001
Pattern teams
AJ Knobbe, EKY Ho
European Conference on Principles of Data Mining and Knowledge Discovery …, 2006
From local patterns to global models: the LeGo approach to data mining
A Knobbe, B Crémilleux, J Fürnkranz, M Scholz
LeGo 8, 1-16, 2008
Social competence at the playground: Preschoolers during recess
G Veiga, W De Leng, R Cachucho, L Ketelaar, JN Kok, A Knobbe, C Neto, ...
Infant and Child Development 26 (1), e1957, 2017
System and method for generating performance models of complex information technology systems
PW Adriaans, AJ Knobbe, M Gathier
US Patent 6,311,175, 2001
Football Player's Performance and Market Value.
M He, R Cachucho, AJ Knobbe
Mlsa@ pkdd/ecml, 87-95, 2015
Multi-relational data mining
BLJ Kaczmarek, AJ Knobbe
Ios Press, 2006
A defect classification methodology for sewer image sets with convolutional neural networks
D Meijer, L Scholten, F Clemens, A Knobbe
Automation in Construction 104, 281-298, 2019
Multi-relational data mining
A Knobbe, H Blockeel, A Siebes, D van der Wallen
Proceedings of the 9th Belgian-Dutch Conference on Machine Learning, 61-74, 1999
Maximally informative k-itemsets and their efficient discovery
AJ Knobbe, EKY Ho
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
Subgroup discovery meets bayesian networks--an exceptional model mining approach
W Duivesteijn, A Knobbe, A Feelders, M van Leeuwen
2010 IEEE International Conference on Data Mining, 158-167, 2010
Exploiting false discoveries--statistical validation of patterns and quality measures in subgroup discovery
W Duivesteijn, A Knobbe
2011 IEEE 11th International Conference on Data Mining, 151-160, 2011
Multi-relational decision tree induction
AJ Knobbe, A Siebes, D van der Wallen
Principles of Data Mining and Knowledge Discovery: Third European Conference …, 1999
Benefits of a short, practical questionnaire to measure subjective perception of nasal appearance after aesthetic rhinoplasty
PJFM Lohuis, S Hakim, W Duivesteijn, A Knobbe, AJ Tasman
Plastic and reconstructive surgery 132 (6), 913e-923e, 2013
Subgroup discovery in smart electricity meter data
N Jin, P Flach, T Wilcox, R Sellman, J Thumim, A Knobbe
IEEE Transactions on Industrial Informatics 10 (2), 1327-1336, 2014
Flexible enrichment with cortana–software demo
M Meeng, A Knobbe
Proceedings of BeneLearn, 117-119, 2011
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Artikelen 1–20