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Bake off redux: a review and experimental evaluation of recent time series classification algorithms Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-04-19 Matthew Middlehurst, Patrick Schäfer, Anthony Bagnall
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Lost in the Forest: Encoding categorical variables and the absent levels problem Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-04-10 Helen L. Smith, Patrick J. Biggs, Nigel P. French, Adam N. H. Smith, Jonathan C. Marshall
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Time series clustering with random convolutional kernels Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-04-01
Abstract Time series data, spanning applications ranging from climatology to finance to healthcare, presents significant challenges in data mining due to its size and complexity. One open issue lies in time series clustering, which is crucial for processing large volumes of unlabeled time series data and unlocking valuable insights. Traditional and modern analysis methods, however, often struggle with
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A comparative study of methods for estimating model-agnostic Shapley value explanations Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-03-29 Lars Henry Berge Olsen, Ingrid Kristine Glad, Martin Jullum, Kjersti Aas
Shapley values originated in cooperative game theory but are extensively used today as a model-agnostic explanation framework to explain predictions made by complex machine learning models in the industry and academia. There are several algorithmic approaches for computing different versions of Shapley value explanations. Here, we consider Shapley values incorporating feature dependencies, referred
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Interpretable linear dimensionality reduction based on bias-variance analysis Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-03-25
Abstract One of the central issues of several machine learning applications on real data is the choice of the input features. Ideally, the designer should select a small number of the relevant, nonredundant features to preserve the complete information contained in the original dataset, with little collinearity among features. This procedure helps mitigate problems like overfitting and the curse of
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MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-03-22 Annabelle Redelmeier, Martin Jullum, Kjersti Aas, Anders Løland
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Binary quantification and dataset shift: an experimental investigation Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-03-18 Pablo González, Alejandro Moreo, Fabrizio Sebastiani
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Online concept evolution detection based on active learning Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-03-15 Husheng Guo, Hai Li, Lu Cong, Wenjian Wang
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Marginal effects for non-linear prediction functions Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-27 Christian A. Scholbeck, Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl, Christian Heumann
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Learning a Bayesian network with multiple latent variables for implicit relation representation Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-22 Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu
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MMA: metadata supported multi-variate attention for onset detection and prediction Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-19 Manjusha Ravindranath, K. Selçuk Candan, Maria Luisa Sapino, Brian Appavu
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Structural learning of simple staged trees Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-15
Abstract Bayesian networks faithfully represent the symmetric conditional independences existing between the components of a random vector. Staged trees are an extension of Bayesian networks for categorical random vectors whose graph represents non-symmetric conditional independences via vertex coloring. However, since they are based on a tree representation of the sample space, the underlying graph
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Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-09 Nazanin Moradinasab, Suchetha Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Kenneth C. Bilchick, Dan M. Cooper, Arthur Weltman, Donald E. Brown
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Revealing the structural behaviour of Brunelleschi’s Dome with machine learning techniques Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-06 Stefano Masini, Silvia Bacci, Fabrizio Cipollini, Bruno Bertaccini
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VEM $$^2$$ L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-06 Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin
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MASS: distance profile of a query over a time series Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-02-05 Sheng Zhong, Abdullah Mueen
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Central node identification via weighted kernel density estimation Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-01-31
Abstract The detection of central nodes in a network is a fundamental task in network science and graph data analysis. During the past decades, numerous centrality measures have been presented to characterize what is a central node. However, few studies address this issue from a statistical inference perspective. In this paper, we formulate the central node identification issue as a weighted kernel
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Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-01-31 Rafael Gomes Mantovani, Tomáš Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho
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Fusing structural information with knowledge enhanced text representation for knowledge graph completion Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-01-19 Kang Tang, Shasha Li, Jintao Tang, Dong Li, Pancheng Wang, Ting Wang
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Adaptive Bernstein change detector for high-dimensional data streams Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-01-09 Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
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When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-01-05 Zhanbo Liang, Jie Guo, Weidong Qiu, Zheng Huang, Shujun Li
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CompTrails: comparing hypotheses across behavioral networks Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-01-03 Tobias Koopmann, Martin Becker, Florian Lemmerich, Andreas Hotho
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Effective signal reconstruction from multiple ranked lists via convex optimization Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2024-01-02
Abstract The ranking of objects is widely used to rate their relative quality or relevance across multiple assessments. Beyond classical rank aggregation, it is of interest to estimate the usually unobservable latent signals that inform a consensus ranking. Under the only assumption of independent assessments, which can be incomplete, we introduce indirect inference via convex optimization in combination
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Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-12-29 Moshe Unger, Michel Wedel, Alexander Tuzhilin
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Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-12-26 Huizi Wu, Cong Geng, Hui Fang
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Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-12-21 Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura
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Random walk with restart on hypergraphs: fast computation and an application to anomaly detection Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-12-21 Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung
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OEC: an online ensemble classifier for mining data streams with noisy labels Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-12-12 Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang
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Structure-aware decoupled imputation network for multivariate time series Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-12-08 Nourhan Ahmed, Lars Schmidt-Thieme
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Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-11-18 Sondre Sørbø, Massimiliano Ruocco
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Anomaly detection in sleep: detecting mouth breathing in children Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-11-13 Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigridur Sigurdardóttir, Michael Valur Clausen, Sigurveig Þ. Sigurdardóttir, Marta Serwatko, Anna Sigridur Islind
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Multiple-input neural networks for time series forecasting incorporating historical and prospective context Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-27 João Palet, Vasco Manquinho, Rui Henriques
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Federated singular value decomposition for high-dimensional data Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-26 Anne Hartebrodt, Richard Röttger, David B. Blumenthal
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Somtimes: self organizing maps for time series clustering and its application to serious illness conversations Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-20 Ali Javed, Donna M. Rizzo, Byung Suk Lee, Robert Gramling
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Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-20 João Luiz Junho Pereira, Kate Smith-Miles, Mario Andrés Muñoz, Ana Carolina Lorena
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Mondrian forest for data stream classification under memory constraints Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-17 Martin Khannouz, Tristan Glatard
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Fast, accurate and explainable time series classification through randomization Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-16 Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik
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Design and evaluation of highly accurate smart contract code vulnerability detection framework Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-13 Sowon Jeon, Gilhee Lee, Hyoungshick Kim, Simon S. Woo
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Representing ensembles of networks for fuzzy cluster analysis: a case study Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-09 Ilaria Bombelli, Ichcha Manipur, Mario Rosario Guarracino, Maria Brigida Ferraro
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Community detection in interval-weighted networks Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-09 Hélder Alves, Paula Brito, Pedro Campos
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MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-09 Wei Wang, Wenhan Ruan, Xiangfu Meng
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The art of centering without centering for robust principal component analysis Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-10-09 Guihong Wan, Baokun He, Haim Schweitzer
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Enhancing cluster analysis via topological manifold learning Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-09-29 Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
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Traffic forecasting on new roads using spatial contrastive pre-training (SCPT) Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-09-27 Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
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Can local explanation techniques explain linear additive models? Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-09-19 Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström
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Improving position encoding of transformers for multivariate time series classification Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-09-05 Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
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Z-Time: efficient and effective interpretable multivariate time series classification Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-09-05 Zed Lee, Tony Lindgren, Panagiotis Papapetrou
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Studying bias in visual features through the lens of optimal transport Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-09-02 Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
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Network embedding based on high-degree penalty and adaptive negative sampling Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-09-02 Gang-Feng Ma, Xu-Hua Yang, Wei Ye, Xin-Li Xu, Lei Ye
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Improving neural network’s robustness on tabular data with D-layers Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-31 Haiyang Xia, Nayyar Zaidi, Yishuo Zhang, Gang Li
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Sky-signatures: detecting and characterizing recurrent behavior in sequential data Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-29 Clément Gautrais, Peggy Cellier, Thomas Guyet, René Quiniou, Alexandre Termier
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SALτ: efficiently stopping TAR by improving priors estimates Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-28 Alessio Molinari, Andrea Esuli
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An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-28 Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
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A semi-supervised interactive algorithm for change point detection Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-28 Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
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A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-27 Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
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Variable screening for Lasso based on multidimensional indexing Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-27 Barbara Żogała-Siudem, Szymon Jaroszewicz
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TenGAN: adversarially generating multiplex tensor graphs Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-21 William Shiao, Benjamin A. Miller, Kevin Chan, Paul Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis
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An anomaly aware network embedding framework for unsupervised anomalous link detection Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-19 Dongsheng Duan, Cheng Zhang, Lingling Tong, Jie Lu, Cunchi Lv, Wei Hou, Yangxi Li, Xiaofang Zhao
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Regression tree-based active learning Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-16 Ashna Jose, João Paulo Almeida de Mendonça, Emilie Devijver, Noël Jakse, Valérie Monbet, Roberta Poloni
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Column-coherent matrix decomposition Data Min. Knowl. Discov. (IF 4.8) Pub Date : 2023-08-11 Nikolaj Tatti