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ORCIDData Mining and Knowledge Discovery, Volume 37
Volume 37, Number 1, January 2023
- Felix Nilsson
, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Practical joint human-machine exploration of industrial time series using the matrix profile. 1-38
- Yinjia Zhang, Qinpei Zhao, Yang Shi, Jiangfeng Li, Weixiong Rao:
Category tree distance: a taxonomy-based transaction distance for web user analysis. 39-66 - Mi Li, Eibe Frank, Bernhard Pfahringer:
Large scale K-means clustering using GPUs. 67-109 - Ting Ma, Mingming Li, Shangwen Lv, Fuqing Zhu, Longtao Huang, Songlin Hu:
ContE: contextualized knowledge graph embedding for circular relations. 110-135 - Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho:
ConvMOS: climate model output statistics with deep learning. 136-166 - Kim Tuyen Le, Gabriel Rashidi, Artur Andrzejak:
A methodology for refined evaluation of neural code completion approaches. 167-204 - Zhao Ziyu, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu:
Differentiated matching for individual and average treatment effect estimation. 205-227 - Yayong Li, Jie Yin, Ling Chen:
Informative pseudo-labeling for graph neural networks with few labels. 228-254 - Weiqiang Jin, Biao Zhao, Hang Yu, Xi Tao, Ruiping Yin, Guizhong Liu:
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning. 255-288 - Mikel Joaristi, Edoardo Serra:
Structural iterative lexicographic autoencoded node representation. 289-317 - Sérgio Barreto, Ricardo Moura, Jonnathan Carvalho, Aline Paes, Alexandre Plastino:
Sentiment analysis in tweets: an assessment study from classical to modern word representation models. 318-380 - Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Hierarchical message-passing graph neural networks. 381-408 - Fang Gong, Xingfeng Guo, Dianhong Wang:
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes. 409-433 - Guangyi Zhang, Aristides Gionis:
Regularized impurity reduction: accurate decision trees with complexity guarantees. 434-475 - Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson:
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. 476-520
Volume 37, Number 2, March 2023
- Naixin Zhang, Jinmeng Wang, Jieyue He:
HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning. 521-551 - Avishek Chatterjee, Satyaki Mazumder, Koel Das:
Functional classwise principal component analysis: a classification framework for functional data analysis. 552-594 - Jana Holznigenkemper, Christian Komusiewicz, Bernhard Seeger:
On computing exact means of time series using the move-split-merge metric. 595-626 - Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh:
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams. 627-669 - Takaaki Nakamura, Ryan Mercer, Makoto Imamura, Eamonn J. Keogh:
MERLIN++: parameter-free discovery of time series anomalies. 670-709 - Ye Fan, Jr-Shin Li, Nan Lin:
Residual projection for quantile regression in vertically partitioned big data. 710-735 - Otto Nyberg, Arto Klami:
Exploring uplift modeling with high class imbalance. 736-766 - Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li, Ruiguo Yu:
BDRI: block decomposition based on relational interaction for knowledge graph completion. 767-787 - Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir:
Forecast evaluation for data scientists: common pitfalls and best practices. 788-832 - Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller:
Methods for explaining Top-N recommendations through subgroup discovery. 833-872 - Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. 873-912 - Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez:
Graph convolutional networks for traffic forecasting with missing values. 913-947 - Peng Yi, Xiongcai Cai, Ziteng Li:
Difference embedding for recommender systems. 948-969 - Richard Leibrandt, Stephan Günnemann:
Generalized density attractor clustering for incomplete data. 970-1009 - Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Scalable classifier-agnostic channel selection for multivariate time series classification. 1010-1054
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