Volume 37, Issue 2 | Data Mining and Knowledge Discovery

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Volume 37, Issue 2

March 2023

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15 articles in this issue

HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning
Naixin Zhang
Jinmeng Wang
Jieyue He
OriginalPaper 29 November 2022 Pages: 521 - 551
Functional classwise principal component analysis: a classification framework for functional data analysis
Avishek Chatterjee
Satyaki Mazumder
Koel Das
OriginalPaper 02 December 2022 Pages: 552 - 594
On computing exact means of time series using the move-split-merge metric
Jana Holznigenkemper
Christian Komusiewicz
Bernhard Seeger
OriginalPaper Open access 09 January 2023 Pages: 595 - 626
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams
Yue Lu
Renjie Wu
Eamonn Keogh
OriginalPaper 11 January 2023 Pages: 627 - 669
MERLIN++: parameter-free discovery of time series anomalies
Takaaki Nakamura
Ryan Mercer
Eamonn Keogh
OriginalPaper 16 January 2023 Pages: 670 - 709
Residual projection for quantile regression in vertically partitioned big data
Ye Fan
Jr-Shin Li
Nan Lin
OriginalPaper 17 January 2023 Pages: 710 - 735
Part of 1 collection:

Computer Science SDG 7: Affordable and Clean Energy
Exploring uplift modeling with high class imbalance
Otto Nyberg
Arto Klami
OriginalPaper Open access 23 January 2023 Pages: 736 - 766
BDRI: block decomposition based on relational interaction for knowledge graph completion
Mei Yu
Jiujiang Guo
Ruiguo Yu
OriginalPaper 03 February 2023 Pages: 767 - 787
Forecast evaluation for data scientists: common pitfalls and best practices
Hansika Hewamalage
Klaus Ackermann
Christoph Bergmeir
OriginalPaper Open access 02 December 2022 Pages: 788 - 832
Part of 2 collections:

Academic Surveys and Tutorials

Academic Surveys and Tutorials
Methods for explaining Top-N recommendations through subgroup discovery
Mouloud Iferroudjene
Corentin Lonjarret
Martin Atzmueller
OriginalPaper 28 November 2022 Pages: 833 - 872
Part of 2 collections:

Application Papers

Application Papers
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers
Ashish Singh
Antonio Bevilacqua
Georgiana Ifrim
OriginalPaper 21 December 2022 Pages: 873 - 912
Part of 2 collections:

Application Papers

Application Papers
Graph convolutional networks for traffic forecasting with missing values
Jingwei Zuo
Karine Zeitouni
Sandra Garcia-Rodriguez
OriginalPaper Open access 16 December 2022 Pages: 913 - 947
Part of 2 collections:

Special Issue of the Journal Track of ECML PKDD 2022

Special Issue of the Journal Track of ECML PKDD 2022
Difference embedding for recommender systems
Peng Yi
Xiongcai Cai
Ziteng Li
OriginalPaper 21 December 2022 Pages: 948 - 969
Part of 2 collections:

Special Issue of the Journal Track of ECML PKDD 2022

Special Issue of the Journal Track of ECML PKDD 2022
Generalized density attractor clustering for incomplete data
Richard Leibrandt
Stephan Günnemann
OriginalPaper 18 January 2023 Pages: 970 - 1009
Part of 2 collections:

Special Issue of the Journal Track of ECML PKDD 2022

Special Issue of the Journal Track of ECML PKDD 2022
Scalable classifier-agnostic channel selection for multivariate time series classification
Bhaskar Dhariyal
Thach Le Nguyen
Georgiana Ifrim
OriginalPaper 23 January 2023 Pages: 1010 - 1054
Part of 2 collections:

Special Issue of the Journal Track of ECML PKDD 2022

Special Issue of the Journal Track of ECML PKDD 2022