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Data Mining and Knowledge Discovery|March 8, 2021
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advancesAlejandro Pasos Ruiz, Michael Flynn, James Large, et al.
Data Mining and Knowledge Discovery|April 11, 2022
Provable randomized rounding for minimum-similarity diversificationBruno Ordozgoiti, Ananth Mahadevan, Antonis Matakos, et al.
Data Mining and Knowledge Discovery|March 10, 2015
Inhibiting diffusion of complex contagions in social networks: theoretical and experimental resultsChris J Kuhlman, V S Anil Kumar, Madhav V Marathe, et al.
Data Mining and Knowledge Discovery|August 25, 2020
A unified view of density-based methods for semi-supervised clustering and classificationJadson Castro Gertrudes, Arthur Zimek, Jörg Sander, et al.
Data Mining and Knowledge Discovery|March 17, 2021
Time series extrinsic regression: Predicting numeric values from time series dataChang Wei Tan, Christoph Bergmeir, François Petitjean, et al.
Data Mining and Knowledge Discovery|January 27, 2025
Missing value replacement in strings and applicationsGiulia Bernardini, Chang Liu, Grigorios Loukides, et al.
Data Mining and Knowledge Discovery|September 26, 2022
An external stability audit framework to test the validity of personality prediction in AI hiringAlene K Rhea, Kelsey Markey, Lauren D'Arinzo, et al.
Data Mining and Knowledge Discovery|February 14, 2025
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learningNazanin Moradinasab, Suchetha Sharma, Ronen Bar-Yoseph, et al.
Data Mining and Knowledge Discovery|July 10, 2023
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensemblesHenrique O Marques, Lorne Swersky, Jörg Sander, et al.
Data Mining and Knowledge Discovery|March 11, 2020
A disk-aware algorithm for time series motif discoveryAbdullah Mueen, Eamonn Keogh, Qiang Zhu, et al.
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