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Jeroen De Knijf
Jeroen De Knijf
data scientist, Randstad Group
Verified email at randstadgroep.nl - Homepage
Title
Cited by
Cited by
Year
BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation
AML Liekens, J De Knijf, W Daelemans, B Goethals, P De Rijk, ...
Genome biology 12, 1-12, 2011
1462011
System and method for detecting malicious device by using a behavior analysis
J De Knijf, A Siwal, S Levi
US Patent 11,223,625, 2022
272022
Fat-cat: Frequent attributes tree based classification
J De Knijf
International Workshop of the Initiative for the Evaluation of XML Retrieval …, 2006
242006
FAT-miner: Mining frequent attribute trees
J De Knijf
Proceedings of the 2007 ACM symposium on Applied computing, 417-422, 2007
212007
System and method for detecting unknown IoT device types by monitoring their behavior
J De Knijf, D Makovsky
US Patent 11,477,202, 2022
192022
Method and system for using an information system
A Liekens, J De Knijf, P De Rijk, B Goethals, J Del-Favero
US Patent App. 13/807,915, 2013
182013
Direct out-of-memory distributed parallel frequent pattern mining
Z Rong, J De Knijf
Proceedings of the 2nd international workshop on big data, streams and …, 2013
72013
Monotone constraints in frequent tree mining
J De Knijf, A Feelders
BENELEARN: Proceedings of the 14th Annual Machine Learning Conference of …, 2005
72005
Mining tree patterns with almost smallest supertrees
JD Knijf
Proceedings of the 2008 SIAM International Conference on Data Mining, 61-71, 2008
52008
Predicting churn for (mobile) app usage
J De Knijf, M de Francisco Vera
US Patent App. 15/376,105, 2017
42017
GaMuSo: graph base music recommendation in a social bookmarking service
J De Knijf, A Liekens, B Goethals
Advances in Intelligent Data Analysis X: 10th International Symposium, IDA …, 2011
32011
Frequent tree mining with selection constraints
J De Knijf
MGTS 2005, 89, 0
2
“Tell Me More”: Finding Related Items from User Provided Feedback
J De Knijf, A Liekens, B Goethals
Discovery Science: 14th International Conference, DS 2011, Espoo, Finland …, 2011
12011
An experimental comparison of different inclusion relations in frequent tree mining
J De Knijf, A Feelders
Fundamenta Informaticae 89 (1), 1-22, 2008
12008
Choosing the Right Patterns: An Experimental Comparison between Different Tree Inclusion Relations
J Knijf, A Feelders
12007
Online user verification without prior knowledge of the user
J De Knijf
US Patent 11,295,118, 2022
2022
Optimal wireless router positioning
M Mc Ginley, J De Knijf, GFJ van der Kruis
US Patent 10,834,609, 2020
2020
BioGraph: knowledge discovery and exploration in the biomedical domain
J De Knijf, A Liekens, W Daelemans, P De Rijk, J Del-Favero, B Goethals
2011 IEEE 11th International Conference on Data Mining Workshops, 1223-1226, 2011
2011
Levelwise Cluster Mining under a Maximum SSE Constraint
J De Knijf, B Goethals, A Prado
FROM LOCAL PATTERNS TO GLOBAL MODELS, 51, 2009
2009
Studies in frequent tree mining
J De Knijf
2008
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