Universiteit Leiden

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Arno Knobbe

Universitair docent

Naam
Dr. A.J. Knobbe
Telefoon
+31 71 527 8919
E-mail
a.j.knobbe@liacs.leidenuniv.nl

Arno Knobbe is a senior researcher at the LIACS, and head of the Data Mining group.

Meer informatie over Arno Knobbe

More information at my Personal webpage

Universitair docent

  • Wiskunde en Natuurwetenschappen
  • Leiden Inst Advanced Computer Sciences

Werkadres

Snellius
Niels Bohrweg 1
2333 CA Leiden
Kamernummer 110

Contact

  • Veiga G., Ketelaar L., De Leng, W. de, Cachucho R., Kok J.N., Knobbe A.J., Neto C., Rieffe & C. (2017), Alone at the Playground, European Journal of Developmental Psychology 14(1): 44-61.artikel in tijdschrift (refereed)
  • Veiga G., Leng W. de, Cachucho R., Ketelaar L., Kok J. N., Knobbe A., Neto C. & Rieffe C. (2017), Social Competence at the Playground: Preschoolers During Recess. Infant and Child Development, Infant and Child Development 26(1): e1957.artikel in tijdschrift (refereed)
  • Miao S., Vespier U., De Gouveia da Costa Cachucho R.E., Meeng M., Knobbe & A.J. (2016), Predefined pattern detection in large time series, Information Sciences 329: 950–964.artikel in tijdschrift (refereed)
  • Veiga G., Ketelaar L., Leng W. de, De Gouveia da Costa Cachucho R.E., Kok J.N., Knobbe A.J., Neto C. & Rieffe C. (2016), Social Competence at the Playground: Preschoolers During Recess. Infant and Child Development, INFANT AND CHILD DEVELOPMENT .artikel in tijdschrift (refereed)
  • Pinho Rebelo de Sá C.F., Soares C. & Knobbe A.J. (2016), Entropy-based discretization methods for ranking data, Information Sciences 329: 921-936.artikel in tijdschrift (refereed)
  • Cachucho R., Liu K., Nijssen S. & Knobbe A.J. (2016), Bipeline: a Web-based Visual Tool for Biclustering of Multivariate Time Series (demo). In: Berendt B., Bringmann B., Fromont É., Garriga G., Miettinen P., Tatti N., Tresp V. (red.) Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. nr. 9853 Heidelberg: Springer International Publishers. 12-17.congresbijdrage (refereed)
  • Sà C.F. Rebelo de, Rebelo C., Soares C. & Knobbe A.J. (2015), Distance-based Decision Tree Algorithms for Label Ranking. In: Progress in Artificial Intelligence - 17th Portugese Conference on Artificial Intelligence (EPIA 2015).. 525-534.congresbijdrage (refereed)
  • Konijn R.M., Duivesteijn W., Meeng M. & Knobbe A.J. (2015), Cost-based quality measures in subgroup discovery, Journal of Intelligent Information Systems 45(3): 337-355.artikel in tijdschrift (refereed)
  • Mampaey M., Nijssen S.G.R., Feelders A., Konijn R.M. & Knobbe A.J. (2015), Efficient algorithms for finding optimal binary features in numeric and nominal labeled data, Knowledge and Information Systems 42(2): 465-492.artikel in tijdschrift (refereed)
  • Miao S., Koenders E. & Knobbe A.J. (2015), Automatic Baseline Correction of Strain Gauge Signals, Structural Control and Health Monitoring 22(1): 36-49.artikel in tijdschrift (refereed)
  • Vanschoren J., Vespier U., Miao S., Meeng M., De Gouveia da Costa Cachucho R.E. & Knobbe A.J. (2014), Large-scale sensor network analysis - Applications in structural health monitoring, in Big Data Management, Technologies, and Applications. In: Big Data Management, Technologies, and Applications: IGI Global. 314-347.boekdeel
  • Jon N., Flach P. Wilcox T., Sellman R., Thumim J. & Knobbe A.J. (2014), Subgroup Discovery in Smart Electricity Meter Data, IEEE Transactions in Industrial Informatics 10(2): 1327-1336.artikel in tijdschrift (refereed)
  • De Gouveia da Costa Cachu R.E., Meeng M., Vespier U., Nijssen S.G.R. & Knobbe A.J. (2014), Mining multivariate time series with mixed sampling rates. In: Proceedings UbiComp 2014: ACM.congresbijdrage (refereed)
  • Vries H. de, Azzopardi G., Koelewijn A. & Knobbe A.J. (2014), Parametric Nonlinear Regression Models for Dike Monitoring Systems. In: Proceedings IDA 2014. 345-355.congresbijdrage (refereed)
  • Witteveen J., Duivesteijn W., Knobbe A.J. & Grünwald P. (2014), RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data. In: Proceedings IDA 2014. 368-379.congresbijdrage (refereed)
  • Meeng M., Duivesteijn W. & Knobbe A.J. (2014), ROCsearch - An ROC-Guided Search Strategy for Subgroup Discovery. In: Proceedings of the 16th LWA Workshops: KDML, IR and FGWM: CEUR. 180.congresbijdrage (refereed)
  • Meeng M., Duivesteijn W. & Knobbe A.J. (2014), ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery. In: Proceedings of the 2014 SIAM International Conference on Data Mining. 704-712.congresbijdrage (refereed)
  • Knobbe A.J., Meeng M. Vanschoren J., Rees Jones S. & Merlo Penning S. (2014), Reconstructing Medieval Social Networks from English and Latin Charters. In: Proceedings Population Reconstruction 2014.congresbijdrage (refereed)
  • Duivesteijn W., Meeng M. & Knobbe A.J. (2014), ROCsearch in a Wider Context - A ROC-Guided Search Strategy for Subgroup Discovery and Beyond. In: Proceedings First International Workshop on Learning over Multiple Contexts (LMCE 2014).congresbijdrage (refereed)
  • Vespier U., Nijssen S.G.R. & Knobbe A.J. (2013), Mining characteristic multi-scale motifs in sensor-based time series. In: He Q., Iyengar A., Nejdl W., Pei J., Rastogi R. (Red.) Proceedings 22nd ACM International Conference on Information and Knowledge Management (CIKM'13): ACM. 2393-2398.congresbijdrage (refereed)
  • Veerman R.P., Miao S., Koenders E. & Knobbe A.J. (2013), Data-Intensive Structural Health Monitoring in the InfraWatch Project,. In: Proceedings 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-6 2013).congresbijdrage (refereed)
  • Miao S., Veerman R.P., Koenders E. & Knobbe A.J. (2013), Modal Analysis of a Concrete Highway Bridge - Structural Calculations and Vibration-Based Results. In: Proceedings 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-6 2013).congresbijdrage (refereed)
  • Miao S. & Knobbe A.J. (2013), Traffic events identification with a sensor network on a dutch highway bridge. In: Proceedings BENELEARN 2013.congresbijdrage (refereed)
  • Miao S., Vespier U., Vanschoren J. Knobbe A.J. & De Gouveia da Costa Cachucho R.E. (2013), Modeling Sensor Dependencies between Multiple Sensor Types. In: Proceedings BENELEARN 2013.congresbijdrage (refereed)
  • Miao S., Knobbe A.J., Koenders E. & Bosma C. (2013), Analysis of Traffic Effects on a Dutch Highway Bridge. In: Proceedings IABSE Conference on Assessment, Upgrading and Refurbishment of Infrastructures.congresbijdrage (refereed)
  • Konijn R.M., Duivesteijn W. Kowalczyk W.J. & Knobbe A.J. (2013), Discovering Local Subgroups, with an Application to Fraud Detection. In: Proceedings of Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference (PAKDD 2013) nr. Lecture Notes in Computer Science. 1-12.congresbijdrage (refereed)
  • Konijn R.M., Duivesteijn W., Meeng M. & Knobbe A.J. (2013), Cost-based Quality Measures in Subgroup Discovery. In: Proceedings Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD Revised Selected Papers nr. Lecture Notes in Computer Science. 404-415.congresbijdrage (refereed)
  • Lohuis P.J.F.M., Faraj-Hakim S., Duivesteijn W., Knobbe A.J. & Tasman A.-J. (2013), Benefits of a Short, Practical Questionnaire to Measure Subjective Perception of Nasal Appearance under Aesthetic Rhinoplasty, Plastic and Reconstructive Surgery 132(6): 913e-923e.artikel in tijdschrift (refereed)
  • Pinho Rebelo de Sa C.F., Soares C. & Knobbe A.J. (2013), Multi-Interval Discretization of Continuous Attributes for Label Ranking. In: Proceedings 16th International Conference on Discovery Science nr. Lecture Notes in Computer Science: Springer-Verlag. 155-169.congresbijdrage (refereed)
  • Mampaey M., Nijssen S.G.R., Feelders A., Konijn R. & Knobbe A.J. (2013), Efficient Algorithms for Finding Optimal Binary Features in Numeric and Nominal Labeled Data, Knowledge and Information Systems .artikel in tijdschrift (refereed)
  • Duivesteijn W., Feelders A. & Knobbe A. (2012), Different Slopes for Different Folks - Mining for Exceptional Regression Models with Cook's Distance. In: Proceedings KDD 2012. 868-876.congresbijdrage (refereed)
  • Ribeiro G., Duivesteijn W., Soares C. & Knobbe A. (2012), Multilayer Perceptron for Label Ranking. In: Proceedings ICANN 2012. 25-32.congresbijdrage (refereed)
  • Vespier U., Knobbe A., Nijssen S. & Vanschoren J. (2012), MDL-based Analysis of Time Series at Multiple Time-Scales. In: Proceedings ECML PKDD 2012. 371-386.congresbijdrage (refereed)
  • Mampaey M., Nijssen S., Feelders A. & Knobbe A. (2012), Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. In: Proceedings ICDMD 2012.congresbijdrage (refereed)
  • Leeuwen Matthijs van & Knobbe A. (2012), Diverse Subgroup Set Discovery. In: Data Mining and Knowledge Discovery (special issue best of ECML PKDD 2011).congresbijdrage (refereed)
  • Vespier U., Knobbe A., Nijssen S. & Vanschoren J. (2012), MDL-based Identification of Relevant Temporal Scales in Time Series. In: Proceedings WITMSE 2012.congresbijdrage (refereed)
  • Duivesteijn W., Loza Mencia E., Fürnkranz J. & Knobbe A. (2012), Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. In: Proceedings IDA 2012. 114-125.congresbijdrage (refereed)
  • Lohuis P.J.F.M., Hakim S., Knobbe A., Duivesteijn W. & Bran G.M. (2012), 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 aesthetic rhinoplasty patients, Archives of Facial Plastic Surgery 14(5): 346-353.artikel in tijdschrift (refereed)
  • Kok J.N., Knobbe A., Blockeel H., Obladen B. & Koenders E. (2011), Large Data Stream Processing for Bridge Management Systems. In: Proceedings First Middle East Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2011).congresbijdrage (refereed)
  • Knobbe A., Hoogestijn P. & Kingma D. (2011), A Feature Construction and Classification Approach to Pixel Annotation. In: Proceedings 20th Annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2011). 69-79.congresbijdrage (refereed)
  • Duivesteijn W. & Knobbe A. (2011), Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery. In: Proceedings IEEE International Conference on Data Mining (ICDM 2011).congresbijdrage (refereed)
  • Miao S., Knobbe A., Vanschoren J., Vespier U., Koopman A., Cachucho R. & Chen Xiaoyun (2011), A Range of Data Mining Techniques to Correlate Multiple Sensor Types. In: Proceedings Dutch-Belgian Database Day.congresbijdrage
  • Vespier U., Knobbe A., Vanschoren J. & Miao S. (2011), InfraWatch: modeling bridge behavior by event recognition in sensor measurements. In: Proceedings SMiLee 2010.congresbijdrage (refereed)
  • Cachucho R., Knobbe A., Moreira J.M. & Gama J. (2011), Towards a Semi-Supervised Classifier for Activity Recognition from Accerelometer Data. In: PhD Spotlight Session late-breaking results, IDA 2011.congresbijdrage (refereed)
  • Knobbe A., Feelders A. & Leman D. (2011), Exceptional Model Mining. In: Holmes D., Jain L. (Red.) Data Mining: Foundations and Intelligent Paradigms 2: Springer. 183-198.boekdeel
  • Leeuwen M. (Matthijs) & Knobbe A. (2011), Non-Redundant Subgroup Discovery in large and Complex Data. In: Proceedings Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2011) Lecture notes in Computer Science. 459.congresbijdrage (refereed)
  • Meeng M. & Knobbe A. (2011), Flexible Enrichment with Contata (Software Demo). In: Proceedings 20th Annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2011). 117-120.congresbijdrage (refereed)
  • Meeng M., Knobbe A., Hoen P.-B. 't & Willems van Dijk K. (2011), Literature-Based Enrichment of Experimental Results (Software Demo). In: Proceedings International Symposium on Integrative Bioinformatics 2011.congresbijdrage (refereed)
  • Cachucho R. & Knobbe A. (2011), A Hierarchical Approach for Activity Recognition from Accelerometer Data Stream. In: Proceedings Dutch-Belgian Database Day.congresbijdrage
  • Vespier U., Knobbe A., Vanschoren J., Miao S., Koopman A., Obladen B. & Bosma C. (2011), Traffic Events Modeling for Structural Health Monitoring. In: Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011 Lecture notes in Computer Science: Springer. 376-387.congresbijdrage (refereed)
  • Knobbe A., Koopman A., Kok J.N., Obladen B., Bosma C. & Galenkamp H. (2010), The Role of Fielded Applications in Machine Learning Education, Proceedings 20th Belgian Dutch Conference on Machine Learning (BENELEARN) .abstract
  • Hakim S., Knobbe A., Duivesteijn W. & Lohuis P.J.F.M. (2010), Results of a screening questionnaire measuring physical perception of patients undergoing esthetic rhinoplasty: a statistical analysis, Dutch Journal for Otorhinolaryngology 2: 100-100.artikel in tijdschrift (refereed)
  • Fuernkranz J. & Knobbe A. (2010), Redactielid Data Mining and Knowledge Discovery Journal 20(1).tijdschriftredactie
  • Knobbe A., Blockeel H., Koopman A., Calders T., Obladen Bas, Bosma C., Galenkamp H., Koenders E. & Kok J.N. (2010), InfraWatch: Data management of large systems for monitoring infrastructural performance. In: Intelligent Data Analysis (IDA) Lecture notes in Computer Science: Springer. 91-102.congresbijdrage (refereed)
  • Meeng M., Knobbe A., Koopman A., Klinken J.B. & Berg S.A.A. van den (2010), Equation Discovery for Whole-Body Metabolism Modelling. In: Proceedings Machine Learning in Systems Biology 2010 (MLSB 2010).congresbijdrage (refereed)
  • Fürnkranz J. & Knobbe A. (2010), Special Issue: Global Modeling Using Local Patterns. Heidelberg Berlin: Springer.boek
  • Duivesteijn W., Knobbe A. & Feelders A. (2010), Subgroup Discovery meets Bayesian networks: an Exceptional Model Mining approach. In: Proceedings ICDM 2010.congresbijdrage (refereed)
  • Koopman A., Knobbe A. & Meeng M. (2010), Pattern Selection Problems in Multivariate Time-Series using Equation Discovery. In: Proceedings of KDD'10 workshop - Useful Patterns (2010).congresbijdrage (refereed)
  • Pieters B., Knobbe A. & Dzeroski S. (2010), Subgroup Discovery in Ranked Data, with an Application to Gene Set Enrichment. In: Proceedings Preference Learning workshop (PL 2010) at ECML PKDD 2010.congresbijdrage (refereed)
  • Frank R, Ester M. & Knobbe A. (2009), A Multi-Relational Approach to Spatial Classification. In: Proceedings KDD 2009.congresbijdrage (refereed)
  • Knobbe A. & Valkonet J. (2009), Building Classifiers from Pattern Teams. In: From Local Patterns to Global Models: Proceedings of the ECML PKDD 2009 Workshop. 77-93.congresbijdrage (refereed)
  • Knobbe A. & Fuernkranz J. (2009), From Local Patterns to Global Models: Proceedings of the ECML PKDD 2009 Workshop. Heidelberg: Springer.boek
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