Publications

The following describes research by Kiminkii, in cooperation with LIACS/Leiden University.

In press

Jin, N., Wilcox, T., Sellman, R., Thumim, J., Knobbe, A., Flach, P., Subgroup Discovery in Smart Electricity Meter Data, IEEE Transactions on Industrial Informatics, IEEE, to appear
Impact factor: 3.381.
Mampaey, M., Nijssen, S., Feelders, A., Konijn, R., Knobbe, A., Efficient Algorithms for Finding Optimal Binary Features in Numeric and Nominal Labeled Data, Knowledge and Information Systems, Dec 2013, special issue 'best of ICDM 2012', Springer, html
Impact factor: 2.225 (2011).
Konijn, R., Duivesteijn, W., Meeng, M., Knobbe, A., Cost-based Quality Measures in Subgroup Discovery, Journal of Intelligent Information Systems, Springer, to appear
Impact factor: 0.833 (2012).
Meeng, M., Duivesteijn, W., Knobbe, A., ROCsearch — An ROC-guided Search Strategy for Subgroup Discovery, in Proceedings SDM 2014, to appear
Miao, S., Koenders, E., Knobbe, A., Automatic Baseline Correction of Strain Gauge Signals, Structural Control and Health Monitoring, Wiley, to appear
Impact factor: 1.544 (2013).

2014

Knobbe, A., Meeng, M., Vanschoren, J., Rees Jones, S., Merlo Perring, S., Reconstructing Medieval Social Networks from English and Latin Charters, in Proceedings Population Reconstruction, 2014

2013

Vanschoren, J., Vespier, U., Miao, S., Meeng, M., Cachucho, R., Knobbe, A., Large-scale sensor network analysis - Applications in structural health monitoring, in Big Data Management, Technologies, and Applications, IGI Global, 2013, html
Veerman, R., Miao, S., Koenders, E., Knobbe, A., Data-Intensive Structural Health Monitoring in the InfraWatch Project, in Proceedings SHMII 2013
Miao, S., Veerman, R., Koenders, E., Knobbe, A., Modal Analysis of a Concrete Highway Bridge - Structural Calculations and Vibration-Based Results, in Proceedings SHMII 2013
Lohuis, P.J.F.M, Faraj-Hakim, S., Duivesteijn, W., Knobbe, A., Tasman, A.-J., Benefits of a Short, Practical Questionnaire to Measure Subjective Perception of Nasal Appearance under Aesthetic Rhinoplasty, In Plastic and Reconstructive Surgery, 2013
Impact factor: 3.535.
Vespier, U., Knobbe, A., Nijssen, S., Mining Characteristic Multi-Scale Motifs in Sensor-Based Time Series, in Proceedings CIKM 2013, pdf
Acceptance rate: 12.5%.
Sa, C., Soares, C. ,Knobbe, A., Multi-Interval Discretization of Continuous Attributes for Label Ranking, in Proceedings Discovery Science 2013, pdf
Miao, S., Verspier, U., Vanschoren, J., Knobbe, A., Cachucho, R., Modeling Sensor Dependencies between Multiple Sensor Types, in Proceedings Benelearn 2013, pdf
Miao, S., Knobbe, A., Koenders, E., Bosma, C.Analysis of Traffic Effects on a Dutch Highway Bridge, in Proceedings IABSE 2013, pdf
Konijn, R., Duivesteijn, W., Meeng, M., Knobbe, A., Cost-based Quality Measures in SubgroupDiscovery, In Proceedings QIMIE 2013 workshop at PAKDD 2013, pdf
Konijn, R., Duivesteijn, W., Kowalczyk, W., Knobbe, A., Discovering Local Subgroups, with an Application to Fraud Detection, In Proceedings PAKDD 2013, pdf
Acceptance rate: 11.3%.

2012

Mampaey, M., Nijssen, S., Feelders, A., Knobbe, A., Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data, In Proceedings ICDM 2012, pdf
Acceptance rate: 10.7%.
Duivesteijn, W., Loza Mencia, E., Fürnkranz, J., Knobbe, A., Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns, In Proceedings IDA 2012, pdf, tech. report
Acceptance rate: 22.5%. Including posters: 43.7%.
Ribeiro, G., Duivesteijn, W., Knobbe, A., Soares, C.,Multilayer Perceptron for Label Ranking, in Proceedings ICANN 2012
Acceptance rate: 65.6%.
Vespier, U., Knobbe, A., Nijssen, S., Vanschoren, J.MDL-based Analysis of Time Series at Multiple Time-Scales, in Proceedings ECML PKDD 2012, pdf
Acceptance rate: 23.7%.
van Leeuwen, M., Knobbe, A., Diverse Subgroup Set Discovery, In Data Mining and Knowledge Discovery (special issue best of ECML PKDD 2011), Springer, 2012, html
Impact factor: 1.545 (2011).
Duivesteijn, W., Feelders, A., Knobbe, A., Different Slopes for Different Folks - Mining for Exceptional Regression Models with Cook's Distance, In Proceedings KDD 2012, pdf
Acceptance rate: 17.6%.
Lohuis, P.J.F.M, Hakim, S., Knobbe, A., Duivesteijn, W., Bran, G.M., Split hump technique for reduction of the overprojected nasal dorsum - a statistical analysis on subjective body image in relation to nasal appearance and nasal patency in 97 aestethic rhinoplasty patients, In Archives of Facial Plastic Surgery, 2012, pdf
Impact factor: 1.65 (2011).

2011

Duivesteijn, W., Knobbe, A., Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery, In Proceedings ICDM 2011, pdf
Acceptance rate: 12.8%. Including short papers: 18.8%.
Vespier, U., Knobbe, A., Vanschoren, J., Miao, S., Koopman, A., Obladen, B., Bosma, C., Traffic Events Modeling for Structural Health Monitoring, in Proceedings IDA 2011, pdf
Acceptance rate (poster): 19.2%.
Knobbe, A., Feelders, A., Leman, D., Exceptional Model Mining, in Data Mining: Foundations and Intelligent Paradigms 2, Holmes, D., Jain, L. (eds.), Springer, 2011, pdf
van Leeuwen, M., Knobbe, A., Non-Redundant Subgroup Discovery in Large and Complex Data, in Proceedings ECML PKDD 2011, pdf
Invited for best-of special issue, 3%. Acceptance rate overall: 20%
Knobbe, A., Hoogestijn, P., Kingma, D., A Feature Construction and Classification Approach to Pixel Annotation, in Proceedings Benelearn 2011, pdf
Meeng, M., Knobbe, A., Flexible Enrichment with Cortana (Software Demo), in Proceedings Benelearn 2011, pdf
Meeng, M., Knobbe, A., 't Hoen, P.-B., and Willems van Dijk, K., Literature-Based Enrichment of Experimental Results (Software demo), International Symposium on Integrative Bioinformatics 2011, pdf
Kok, J., Knobbe, A., Blockeel, H., Obladen, B., Koenders, E., Large Data Stream Processing for Bridge Management Systems, In Proceedings SMAR 2011, pdf

2010

Duivesteijn, W., Knobbe, A., Feelders, A., van Leeuwen, M., Subgroup Discovery meets Bayesian networks: an Exceptional Model Mining approach, In Proceedings ICDM 2010, pdf
Acceptance rate: 9.0%. Including short papers: 19.4%.
Pieters, B.F.I., Knobbe, A., Dzeroski, S., Subgroup Discovery in Ranked Data, with an Application to Gene Set Enrichment, In Proceedings Preference Learning workshop (PL 2010) at ECML PKDD 2010, pdf
Meeng, M., Knobbe, A., Koopman, A., van Klinken, J.B., van den Berg, S.A.A., Equation Discovery for Whole-Body Metabolism Modelling, In Proceedings Machine Learning in Systems Biology 2010 (MLSB 2010), pdf
Fürnkranz, J., Knobbe, A. (eds.), Special Issue: Global Modeling Using Local Patterns, Data Mining and Knowledge Discovery journal, 20:1, July 2010, html
Impact factor: 1.545 (2011).
Fürnkranz, J., Knobbe, A., Global Modeling Using Local Patterns (editorial), Data Mining and Knowledge Discovery journal, 20:1, July 2010, pdf
Impact factor: 1.545 (2011).
Koopman, A., Knobbe, A., Meeng, M., Pattern Selection Problems in Multivariate Time-Series using Equation Discovery, In Proceedings Usefull Patterns workshop (UP 2010) at KDD 2010, pdf
Knobbe, A., Koopman, A., Kok, J., Obladen, B., Bosma, C., Galenkamp, H., The Role of Fielded Applications in Machine Learning Education (abstract), In Proceedings Benelearn 2010, pdf
Knobbe, A., Blockeel, H., Koopman, A., Calders, T., Obladen, B., Bosma, C., Galenkamp, H., Koenders, E., Kok, J. InfraWatch: Data management of large systems for monitoring infrastructural performance, In Proceedings IDA 2010, Tucson, USA, 2010, pdf
Hakim, S., Knobbe, A., Duivesteijn, W., Lohuis, P.J.F.M. Results of a screening questionnaire measuring physical perception of patients undergoing esthetic rhinoplasty: a statistical analysis, In Nederlands Tijdschrift voor Keel-Neus-Oorheelkunde (Dutch Journal for Otorhinolaryngology), 2010, 2, p. 100. pdf

2009

Knobbe, A., Valkonet, J., Building Classifiers from Pattern Teams, In Knobbe and Fürnkranz (eds.) From Local Patterns to Global Models: Proceedings of the ECML PKDD 2009 Workshop, pp. 77-93, Bled, Slovenia, 2009, pdf
Knobbe, A., Fürnkranz, J. (eds.), From Local Patterns to Global Models: Proceedings of the ECML PKDD 2009 Workshop, Bled, Slovenia, 2009, html
Frank, R., Ester, M., Knobbe, A., A Multi-Relational Approach to Spatial Classification, In Proceedings KDD 2009, Paris, France, 2009, pdf

2008-1995

Leman, D., Feelders, A., Knobbe, A., Exceptional Model Mining, In Proceedings ECML PKDD 2008, Part II, LNAI 5212, pp. 1-16, Antwerp, Belgium, 2008, pdf
Fürnkranz, J., Knobbe, A. (eds.), From Local Patterns to Global Models: Proceedings of the ECML PKDD 2008 Workshop, Antwerp, Belgium, 2008, html
Knobbe, A., Crémilleux, B., Fürnkranz, J., Scholz, M., From Local Patterns to Global Models: The LeGo Approach to Data Mining, In Fürnkranz and Knobbe (eds.) From Local Patterns to Global Models: Proceedings of the ECML PKDD 2008 Workshop, pp. 1-16, Antwerp, Belgium, 2008, pdf
van de Koppel, E., Slavkov, I., Astrahantseff, K., Schramm, A., Schulte, J., Vandesompele, J., de Jong, E., Dzeroski, S., Knobbe, A., Knowledge Discovery in Neuroblastoma-related Biological Data, Data Mining in Functional Genomics and Proteomics workshop, 2007, pdf
Knobbe, A., The Safarii Multi-Relational Data Mining Environment, In Proceedings BNAIC 2007, Utrecht, 2007
Knobbe, A., Multi-Relational Data Mining, IOS Press, Amsterdam, 2006, flyer
Knobbe, A., Ho, E.K.Y, Pattern Teams, In Proceedings PKDD 2006, Berlin, Germany, 2006 short pdf , full pdf
Knobbe, A., Ho, E.K.Y, Maximally Informative k-Itemsets and their Efficient Discovery, In Proceedings KDD 2006, Philadelphia, USA, 2006 pdf
Knobbe, A., Ho, E.K.Y, Malik, R., ILP 2005 Challenge: the Safarii MRDM Environment, In Proceedings Late-breaking papers track ILP 2005, Bonn, Germany, 2005 pdf
Knobbe, A., Ho, E.K.Y, Numbers in Multi-Relational Data Mining, In Proceedings of PKDD 2005, Porto, Portugal, 2005, short pdf, full pdf
Knobbe, A., Multi-Relational Data Mining, Ph.D. Dissertation, Kiminkii, the Netherlands, 2004, pdf
Knobbe, A., Siebes, A., Marseille, B., Involving Aggregate Functions in Multi-Relational Search, In Proceedings of PKDD 2002, Helsinki, Finland, 2002, pdf, ps
Knobbe, A., de Haas, M., Siebes, A., Propositionalisation and Aggregates, In Proceedings of PKDD 2001, Freiburg, Germany, 2001, pdf
Knobbe, A., Siebes, A., Blockeel, H., Van der Wallen, D.M.G., Multi-Relational Data Mining, using UML for ILP, In Proceedings of Benelearn 2000, Tilburg, The Netherlands, 2000, pdf
Knobbe, A., Siebes, A., Blockeel, H., Van der Wallen, D.M.G., Multi-Relational Data Mining, using UML for ILP, In Proceedings of PKDD 2000, Lyon, France, 2000, pdf
Knobbe, A., Blockeel, H., Siebes, A., Van der Wallen, D.M.G., Multi-Relational Data Mining, In Proceedings of Benelearn '99, 1999, pdf
Knobbe, A., Siebes, A., Van der Wallen, D.M.G., Multi-Relational Decision Tree Induction, In Proceedings of PKDD '99, Prague, Czech Republic, 1999, pdf, Flash
Arno J. Knobbe, Daniël M.G. van der Wallen, Lundy Lewis, Experiments with Data Mining in Enterprise Management, Integrated Network Management '99, Boston, USA, 1999
Sjoerd Geraedts and Arno Knobbe, Informatiebehoefte gebruiker vaak vergeten, Informatie, Januari 1999, html
Arno J. Knobbe, Bart Marseille, Otto Moerbeek, Daniël M.G. van der Wallen, Results in Adaptive System Management, Benelearn'98, Wageningen, 1998, pdf
Arno J. Knobbe, Uitdagingen in Grootschalig Datamining, DB Magazine, june 1998
Arno J. Knobbe, Toepassingen van datamining, Informatie, sept 1997, html
Arno J. Knobbe, Data Mining for Adaptive System Management, PAKDD'97, London, 1997
Arno J. Knobbe, Pieter W. Adriaans, EMILE: Learning Context-Free Grammars from Examples, BENELEARN'96, Maastricht, The Netherlands, 1996
Arno J. Knobbe, Pieter W. Adriaans, Analyzing Binary Associations, KDD'96, Portland Oregon, 1996, pdf
Arno J. Knobbe, Pieter W. Adriaans, Discovering Foreign Key Relations in Relational Databases, EMCSR, Vienna, 1996
Arno J. Knobbe, Eelco den Heijer, Ronan Waldron, A practical view on Data Mining, PAKM'96, Basel, 1996
Arno J. Knobbe, Joost N. Kok, Mark H. Overmars, Robot Motion Planning in Unknown Environments using Neural Networks, ICANN'95, Paris, 1995
Arno J. Knobbe, Pieter W. Adriaans, Discovering Foreign Key Relations in Relational Databases, ECML workshop on Statistics, Machine Learning and Data Mining, Crete, 1995