Arno J. Knobbe

Orcid: 0000-0002-0335-5099

Affiliations:
  • University of Leiden, The Netherlands
  • Utrecht University, The Netherlands (former)


According to our database1, Arno J. Knobbe authored at least 64 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring.
Data Min. Knowl. Discov., May, 2023

2022
Modeling Match Performance in Elite Volleyball Players: Importance of Jump Load and Strength Training Characteristics.
Sensors, 2022

A recurrent neural network architecture to model physical activity energy expenditure in older people.
Data Min. Knowl. Discov., 2022

Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2022

2021
For real: a thorough look at numeric attributes in subgroup discovery.
Data Min. Knowl. Discov., 2021

Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data.
CoRR, 2021

2020
Activity recognition using wearable sensors for tracking the elderly.
User Model. User Adapt. Interact., 2020

Uni- and multivariate probability density models for numeric subgroup discovery.
Intell. Data Anal., 2020

RNNs on Monitoring Physical Activity Energy Expenditure in Older People.
CoRR, 2020

Time Series Regression in Professional Road Cycling.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Exploring Successful Team Tactics in Soccer Tracking Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Tactical Analyses in Professional Tennis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Discovering a taste for the unusual: exceptional models for preference mining.
Mach. Learn., 2018

Preference rules for label ranking: Mining patterns in multi-target relations.
Inf. Fusion, 2018

Smart energy management as a means towards improved energy efficiency.
CoRR, 2018

Effects of Pacing Properties on Performance in Long-Distance Running.
Big Data, 2018

ClaRe: Classification and Regression Tool for Multivariate Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017
Label Ranking Forests.
Expert Syst. J. Knowl. Eng., 2017

Sports analytics for professional speed skating.
Data Min. Knowl. Discov., 2017

Biclustering Multivariate Time Series.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016
Entropy-based discretization methods for ranking data.
Inf. Sci., 2016

Predefined pattern detection in large time series.
Inf. Sci., 2016

Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts.
Data Min. Knowl. Discov., 2016

Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Exceptional Preferences Mining.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data.
Knowl. Inf. Syst., 2015

Cost-based quality measures in subgroup discovery.
J. Intell. Inf. Syst., 2015

Football Player's Performance and Market Value.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

Distance-Based Decision Tree Algorithms for Label Ranking.
Proceedings of the Progress in Artificial Intelligence, 2015

Record Linkage in Medieval and Early Modern Text.
Proceedings of the Population Reconstruction, 2015

2014
Subgroup Discovery in Smart Electricity Meter Data.
IEEE Trans. Ind. Informatics, 2014

ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Parametric Nonlinear Regression Models for Dike Monitoring Systems.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Mining multivariate time series with mixed sampling rates.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013
Discovering Local Subgroups, with an Application to Fraud Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Multi-interval Discretization of Continuous Attributes for Label Ranking.
Proceedings of the Discovery Science - 16th International Conference, 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.
Proceedings of the 8th Annual International Conference of the Alliance of Digital Humanities Organizations, 2013

Mining characteristic multi-scale motifs in sensor-based time series.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Diverse subgroup set discovery.
Data Min. Knowl. Discov., 2012

MDL-Based Analysis of Time Series at Multiple Time-Scales.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Different slopes for different folks: mining for exceptional regression models with cook's distance.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Multilayer Perceptron for Label Ranking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Non-redundant Subgroup Discovery in Large and Complex Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Traffic Events Modeling for Structural Health Monitoring.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Guest Editorial: Global modeling using local patterns.
Data Min. Knowl. Discov., 2010

InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach.
Proceedings of the ICDM 2010, 2010

2009
A multi-relational approach to spatial classification.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Exceptional Model Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2006
Pattern Teams.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Maximally informative k-itemsets and their efficient discovery.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Numbers in Multi-relational Data Mining.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

2002
Involving Aggregate Functions in Multi-relational Search.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

2001
Propositionalisation and Aggregates.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

2000
Multi-Relational Data Mining, Using UML for ILP.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999
Multi-relational Decision Tree Induction.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Experiments with Data Mining in Enterprise Management.
Proceedings of the 1999 IEEE/IFIP International Symposium on Integrated Network Management, 1999

1996
A practical view on data mining.
Proceedings of the First International Conference on Practical Aspects of Knowledge Management, 1996

Analysing Binary Associations.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996


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