Boris Cule

Orcid: 0000-0003-1539-0892

According to our database1, Boris Cule authored at least 37 papers between 2009 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market.
J. Theor. Appl. Electron. Commer. Res., 2023

Efficient pattern-based anomaly detection in a network of multivariate devices.
CoRR, 2023

Leveraging Sequential Episode Mining for Session-Based News Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
RASCL: a randomised approach to subspace clusters.
Int. J. Data Sci. Anal., 2022

PETSC: pattern-based embedding for time series classification.
Data Min. Knowl. Discov., 2022

Face in the Game: Using Facial Action Units to Track Expertise in Competitive Video Game Play.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2020
Combining instance and feature neighbours for extreme multi-label classification.
Int. J. Data Sci. Anal., 2020

2019
Efficiently mining cohesion-based patterns and rules in event sequences.
Data Min. Knowl. Discov., 2019

On-the-Fly News Recommendation Using Sequential Patterns.
Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, 2019

A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs.
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

Pattern-Based Anomaly Detection in Mixed-Type Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Sampling-Based Approach for Discovering Subspace Clusters.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Grasping frequent subgraph mining for bioinformatics applications.
BioData Min., 2018

Mining Top-<i>k</i> Quantile-based Cohesive Sequential Patterns.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017
Collaborative Filtering for Binary, Positiveonly Data.
SIGKDD Explor., 2017

Selecting relevant features from the electronic health record for clinical code prediction.
J. Biomed. Informatics, 2017

Combining Instance and Feature Neighbors for Efficient Multi-label Classification.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Pattern Based Sequence Classification.
IEEE Trans. Knowl. Data Eng., 2016

Efficient Discovery of Sets of Co-occurring Items in Event Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
A pattern based predictor for event streams.
Expert Syst. Appl., 2015

Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.
BioData Min., 2015

Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Cohesion based co-location pattern mining.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Space-Bounded Query Approximation.
Proceedings of the Advances in Databases and Information Systems, 2015

2014
Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

MARBLES: Mining association rules buried in long event sequences.
Stat. Anal. Data Min., 2014

Mining Cohesive Itemsets in Graphs.
Proceedings of the Discovery Science - 17th International Conference, 2014

2013
Itemset Based Sequence Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Mining Interesting Itemsets in Graph Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining spatially cohesive itemsets in protein molecular structures.
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

2012
Searching for patterns in long sequences
PhD thesis, 2012

Mining closed strict episodes.
Data Min. Knowl. Discov., 2012

2011
Mining closed episodes with simultaneous events.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Mining Train Delays.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010
Mining Association Rules in Long Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

2009
A New Constraint for Mining Sets in Sequences.
Proceedings of the SIAM International Conference on Data Mining, 2009


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