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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 - Ziyu Zhao, 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
Volume 37, Number 3, May 2023
- Tanmoy Mondal, Reza Akbarinia, Florent Masseglia:
kNN matrix profile for knowledge discovery from time series. 1055-1089 - Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander:
A hyperbolic approach for learning communities on graphs. 1090-1124 - Arie-Willem de Leeuw, Mathieu Heijboer, Tim Verdonck, Arno J. Knobbe, Steven Latré:
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring. 1125-1153 - Chen Zhang, Baihua Zheng, Fugee Tsung:
Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach. 1154-1208 - Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo:
AA-forecast: anomaly-aware forecast for extreme events. 1209-1229 - Sebastian Buschjäger, Katharina Morik:
Joint leaf-refinement and ensemble pruning through L1 regularization. 1230-1261 - Arik Ermshaus, Patrick Schäfer, Ulf Leser:
ClaSP: parameter-free time series segmentation. 1262-1300 - Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt:
A two-step anomaly detection based method for PU classification in imbalanced data sets. 1301-1325
Volume 37, Number 4, July 2023
- Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima:
Making individually fair predictions with causal pathways. 1327-1373 - Deepak P, Sowmya S. Sundaram:
FiSH: fair spatial hot spots. 1374-1403 - Ian Davidson, Zilong Bai, Cindy Mylinh Tran, S. S. Ravi:
Making clusterings fairer by post-processing: algorithms, complexity results and experiments. 1404-1440 - Fanling Huang, Yangdong Deng:
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction. 1441-1472 - Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek:
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles. 1473-1517 - Xiang Cai, Bang Wang:
A graph convolutional fusion model for community detection in multiplex networks. 1518-1547 - Matej Mihelcic, Pauli Miettinen:
Differentially private tree-based redescription mining. 1548-1590 - Ruixin Ma, Biao Mei, Yunlong Ma, Hongyan Zhang, Meihong Liu, Liang Zhao:
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs. 1591-1608 - Fatma Sevinç Kurnaz, Peter Filzmoser:
Robust and sparse multinomial regression in high dimensions. 1609-1629 - Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli:
A combinatorial multi-armed bandit approach to correlation clustering. 1630-1691 - Maryam Abuissa, Alexander W. Lee, Matteo Riondato:
ROhAN: Row-order agnostic null models for statistically-sound knowledge discovery. 1692-1718
Volume 37, Number 5, September 2023
- Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo:
Benchmarking and survey of explanation methods for black box models. 1719-1778 - Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
Hydra: competing convolutional kernels for fast and accurate time series classification. 1779-1805 - Omer David Harel, Robert Moskovitch:
TIRPClo: efficient and complete mining of time intervals-related patterns. 1806-1857 - Myra Cheng, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai:
Social norm bias: residual harms of fairness-aware algorithms. 1858-1884 - Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto:
Bias characterization, assessment, and mitigation in location-based recommender systems. 1885-1929 - Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco:
Enforcing fairness using ensemble of diverse Pareto-optimal models. 1930-1958 - Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain:
Efficient algorithms for fair clustering with a new notion of fairness. 1959-1997 - Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Fair detection of poisoning attacks in federated learning on non-i.i.d. data. 1998-2023 - Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb:
Parameterizing the cost function of dynamic time warping with application to time series classification. 2024-2045 - Xin-Chun Li, Yang Yang, De-Chuan Zhan:
MrTF: model refinery for transductive federated learning. 2046-2069 - Nikolaos Fanourakis, Vasilis Efthymiou, Dimitris Kotzinos, Vassilis Christophides:
Knowledge graph embedding methods for entity alignment: experimental review. 2070-2137
Volume 37, Number 6, November 2023
- Fanchen Bu, Shinhwan Kang, Kijung Shin:
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm. 2139-2191 - Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee:
Fast block-wise partitioning for extreme multi-label classification. 2192-2215 - Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang, Kijung Shin:
Datasets, tasks, and training methods for large-scale hypergraph learning. 2216-2254 - Emilio Celotto, Andrea Ellero, Paola Ferretti:
Symmetry properties and asymmetry evaluation of Bayesian Confirmation Measures. 2255-2280 - Valentin Owczarek, Patrick Franco, Rémy Mullot:
An alternative for data visualization using space-filling curve. 2281-2305 - Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal:
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes. 2306-2329 - Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin:
Reciprocity in directed hypergraphs: measures, findings, and generators. 2330-2388 - Fanchen Bu, Geon Lee, Kijung Shin:
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications. 2389-2437 - Manh Tuan Do, Kijung Shin:
Improving the core resilience of real-world hypergraphs. 2438-2493 - Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson:
i-Align: an interpretable knowledge graph alignment model. 2494-2516 - Zhong Li, Matthijs van Leeuwen:
Explainable contextual anomaly detection using quantile regression forests. 2517-2563 - Nikolaj Tatti:
Column-coherent matrix decomposition. 2564-2588
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