Analysing Binary Associations. - Arno J. Knobbe; Pieter W. Adriaans (KDD, 1996)

A practical view on data mining. - Arno J. Knobbe; Eelco den Heijer; Ronan Waldron (PAKM, 1996)

Experiments with Data Mining in Enterprise Management. - Arno J. Knobbe; Danïel van der Wallen; Lundy Lewis (Integrated Network Management, 1999)

Multi-relational Decision Tree Induction. - Arno J. Knobbe; Arno Siebes; Danïel van der Wallen (PKDD, 1999)

Multi-Relational Data Mining, Using UML for ILP. - Arno J. Knobbe; Arno Siebes; Hendrik Blockeel; Danïel van der Wallen (PKDD, 2000)

Propositionalisation and Aggregates. - Arno J. Knobbe; Marc de Haas; Arno Siebes (PKDD, 2001)

Involving Aggregate Functions in Multi-relational Search. - Arno J. Knobbe; Arno Siebes; Bart Marseille (PKDD, 2002)

Numbers in Multi-relational Data Mining. - Arno J. Knobbe; Eric K. Y. Ho (PKDD, 2005)

Maximally informative k-itemsets and their efficient discovery. - Arno J. Knobbe; Eric K. Y. Ho (KDD, 2006)

Pattern Teams. - Arno J. Knobbe; Eric K. Y. Ho (PKDD, 2006)

Exceptional Model Mining. - Dennis Leman; Ad Feelders; Arno J. Knobbe (ECML/PKDD (2), 2008)

A multi-relational approach to spatial classification. - Richard Frank; Martin Ester; Arno J. Knobbe (KDD, 2009)

Subgroup Discovery Meets Bayesian Networks – An Exceptional Model Mining Approach. - Wouter Duivesteijn; Arno J. Knobbe; Ad Feelders; Matthijs van Leeuwen (ICDM, 2010)

InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. - Arno J. Knobbe; Hendrik Blockeel; Arne Koopman; Toon Calders; Bas Obladen; Carlos Bosma; Hessel Galenkamp; Eddy Koenders; Joost N. Kok (IDA, 2010)

Guest Editorial: Global modeling using local patterns. - Johannes Fürnkranz; Arno J. Knobbe (Data Min. Knowl. Discov., 2010)

Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery. - Wouter Duivesteijn; Arno J. Knobbe (ICDM, 2011)

Traffic Events Modeling for Structural Health Monitoring. - Ugo Vespier; Arno J. Knobbe; Joaquin Vanschoren; Shengfa Miao; Arne Koopman; Bas Obladen; Carlos Bosma (IDA, 2011)

Non-redundant Subgroup Discovery in Large and Complex Data. - Matthijs van Leeuwen; Arno J. Knobbe (ECML/PKDD (3), 2011)

Multilayer Perceptron for Label Ranking. - Geraldina Ribeiro; Wouter Duivesteijn; Carlos Soares; Arno J. Knobbe (ICANN (2), 2012)

Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. - Michael Mampaey; Siegfried Nijssen; Ad Feelders; Arno J. Knobbe (ICDM, 2012)

Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. - Wouter Duivesteijn; Eneldo Loza Mencía; Johannes Fürnkranz; Arno J. Knobbe (IDA, 2012)

Different slopes for different folks: mining for exceptional regression models with cook's distance. - Wouter Duivesteijn; Ad Feelders; Arno J. Knobbe (KDD, 2012)

MDL-Based Analysis of Time Series at Multiple Time-Scales. - Ugo Vespier; Arno J. Knobbe; Siegfried Nijssen; Joaquin Vanschoren (ECML/PKDD (2), 2012)

Diverse subgroup set discovery. - Matthijs van Leeuwen; Arno J. Knobbe (Data Min. Knowl. Discov., 2012)

Mining characteristic multi-scale motifs in sensor-based time series. - Ugo Vespier; Siegfried Nijssen; Arno J. Knobbe (CIKM, 2013)

ChartEx: a project to extract information from the content of medieval charters and create a virtual workbench for historians to work with this information. - Helen Petrie; Sarah Rees Jones; Christopher Power; Roger Evans; Lynne J. Cahill; Arno J. Knobbe; Michael Gervers; Robin Sutherland-Harris; Adam Kosto; Jon Crump (DH, 2013)

Multi-interval Discretization of Continuous Attributes for Label Ranking. - Cláudio Rebelo de Sá; Carlos Soares; Arno J. Knobbe; Paulo J. Azevedo; Alípio Mário Jorge (Discovery Science, 2013)

Discovering Local Subgroups, with an Application to Fraud Detection. - Rob M. Konijn; Wouter Duivesteijn; Wojtek Kowalczyk; Arno J. Knobbe (PAKDD (1), 2013)

Mining multivariate time series with mixed sampling rates. - Ricardo Cachucho; Marvin Meeng; Ugo Vespier; Siegfried Nijssen; Arno J. Knobbe (UbiComp, 2014)

Parametric Nonlinear Regression Models for Dike Monitoring Systems. - Harm de Vries; George Azzopardi; André Koelewijn; Arno J. Knobbe (IDA, 2014)

RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data. - Jouke Witteveen; Wouter Duivesteijn; Arno J. Knobbe; Peter Grünwald (IDA, 2014)

ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery. - Marvin Meeng; Wouter Duivesteijn; Arno J. Knobbe (SDM, 2014)

Subgroup Discovery in Smart Electricity Meter Data. - Nanlin Jin; Peter A. Flach; Tom Wilcox; Royston Sellman; Joshua Thumim; Arno J. Knobbe (IEEE Trans. Ind. Informatics, 2014)

Record Linkage in Medieval and Early Modern Text. - Kleanthi Georgala; Benjamin van der Burgh; Marvin Meeng; Arno J. Knobbe (Population Reconstruction, 2015)

Distance-Based Decision Tree Algorithms for Label Ranking. - Cláudio Rebelo de Sá; Carla Rebelo; Carlos Soares; Arno J. Knobbe (EPIA, 2015)

Football Player's Performance and Market Value. - Miao He; Ricardo Cachucho; Arno J. Knobbe (MLSA@PKDD/ECML, 2015)

Cost-based quality measures in subgroup discovery. - Rob M. Konijn; Wouter Duivesteijn; Marvin Meeng; Arno J. Knobbe (J. Intell. Inf. Syst., 2015)

Efficient algorithms for finding optimal binary features in numeric and nominal labeled data. - Michael Mampaey; Siegfried Nijssen; Ad Feelders; Rob M. Konijn; Arno J. Knobbe (Knowl. Inf. Syst., 2015)

Exceptional Preferences Mining. - Cláudio Rebelo de Sá; Wouter Duivesteijn; Carlos Soares; Arno J. Knobbe (DS, 2016)

Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series. - Ricardo Cachucho; Kaihua Liu; Siegfried Nijssen; Arno J. Knobbe (ECML/PKDD (3), 2016)

Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts. - Wouter Duivesteijn; Ad Feelders; Arno J. Knobbe (Data Min. Knowl. Discov., 2016)

Predefined pattern detection in large time series. - Shengfa Miao; Ugo Vespier; Ricardo Cachucho; Marvin Meeng; Arno J. Knobbe (Inf. Sci., 2016)

Entropy-based discretization methods for ranking data. - Cláudio Rebelo de Sá; Carlos Soares; Arno J. Knobbe (Inf. Sci., 2016)

Biclustering Multivariate Time Series. - Ricardo Cachucho; Siegfried Nijssen; Arno J. Knobbe (IDA, 2017)

Sports analytics for professional speed skating. - Arno J. Knobbe; Jac Orie; Nico Hofman; Benjamin van der Burgh; Ricardo Cachucho (Data Min. Knowl. Discov., 2017)

Label Ranking Forests. - Cláudio Rebelo de Sá; Carlos Soares; Arno J. Knobbe; Paulo Cortez 001 (Expert Syst. J. Knowl. Eng., 2017)

ClaRe: Classification and Regression Tool for Multivariate Time Series. - Ricardo Cachucho; Stylianos Paraschiakos; Kaihua Liu; Benjamin van der Burgh; Arno J. Knobbe (ECML/PKDD (3), 2018)

Effects of Pacing Properties on Performance in Long-Distance Running. - Arie-Willem de Leeuw; Laurentius Antonius Meerhoff; Arno J. Knobbe (Big Data, 2018)

Smart energy management as a means towards improved energy efficiency. - Dylan te Lindert; Cláudio Rebelo de Sá; Carlos Soares; Arno J. Knobbe (CoRR, 2018)

Preference rules for label ranking: Mining patterns in multi-target relations. - Cláudio Rebelo de Sá; Paulo J. Azevedo; Carlos Soares; Alípio Mário Jorge; Arno J. Knobbe (Inf. Fusion, 2018)

Discovering a taste for the unusual: exceptional models for preference mining. - Cláudio Rebelo de Sá; Wouter Duivesteijn; Paulo J. Azevedo; Alípio Mário Jorge; Carlos Soares; Arno J. Knobbe (Mach. Learn., 2018)

Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks. - Jeremiah Okai; Stylianos Paraschiakos; Marian Beekman; Arno J. Knobbe; Cláudio Rebelo de Sá (EMBC, 2019)

Tactical Analyses in Professional Tennis. - Arie-Willem de Leeuw; Aldo Hoekstra; Laurentius Antonius Meerhoff; Arno J. Knobbe (PKDD/ECML Workshops (2), 2019)

Exploring Successful Team Tactics in Soccer Tracking Data. - Laurentius Antonius Meerhoff; Floris R. Goes; Arie-Willem de Leeuw; Arno J. Knobbe (PKDD/ECML Workshops (2), 2019)

Time Series Regression in Professional Road Cycling. - Arie-Willem de Leeuw; Mathieu Heijboer; Mathijs Hofmijster; Stephan van der Zwaard; Arno J. Knobbe (DS, 2020)

RNNs on Monitoring Physical Activity Energy Expenditure in Older People. - Stylianos Paraschiakos; Cláudio Rebelo de Sá; Jeremiah Okai; P. Eline Slagboom; Marian Beekman; Arno J. Knobbe (CoRR, 2020)

Uni- and multivariate probability density models for numeric subgroup discovery. - Marvin Meeng; Harm de Vries; Peter A. Flach; Siegfried Nijssen; Arno J. Knobbe (Intell. Data Anal., 2020)

Activity recognition using wearable sensors for tracking the elderly. - Stylianos Paraschiakos; Ricardo Cachucho; Matthijs Moed; Diana van Heemst; Simon Mooijaart; P. Eline Slagboom; Arno J. Knobbe; Marian Beekman (User Model. User Adapt. Interact., 2020)

GOTOV Human Physical Activity and Energy Expenditure Dataset on Older Individuals. - Stylianos Paraschiakos; Marian Beekman; Arno J. Knobbe; Ricardo Cachucho; P. Eline Slagboom (4TU.Federation, 2021)

Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data. - David Bernhard Steffelbauer; E. J. M. Blokker; Steven G. Buchberger; Arno J. Knobbe; Edo Abraham (CoRR, 2021)

For real: a thorough look at numeric attributes in subgroup discovery. - Marvin Meeng; Arno J. Knobbe (Data Min. Knowl. Discov., 2021)

Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data. - Arie-Willem de Leeuw; Tobias Oberkofler; Mathieu Heijboer; Arno J. Knobbe (MLSA@PKDD/ECML, 2022)

A recurrent neural network architecture to model physical activity energy expenditure in older people. - Stylianos Paraschiakos; Cláudio Rebelo de Sá; Jeremiah Okai; P. Eline Slagboom; Marian Beekman; Arno J. Knobbe (Data Min. Knowl. Discov., 2022)

Modeling Match Performance in Elite Volleyball Players: Importance of Jump Load and Strength Training Characteristics. - Arie-Willem de Leeuw; Rick van Baar; Arno J. Knobbe; Stephan van der Zwaard (Sensors, 2022)

LMFD: Latent Monotonic Feature Discovery. - Guus Toussaint; Arno J. Knobbe (PKDD/ECML Workshops (3), 2023)

Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring. - Arie-Willem de Leeuw; Mathieu Heijboer; Tim Verdonck; Arno J. Knobbe; Steven Latré (Data Min. Knowl. Discov., 2023)