Data Mining and Knowledge Discovery

Article	Citations
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances	244
Counterfactual explanations and how to find them: literature review and benchmarking	100
A survey of community detection methods in multilayer networks	93
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	80
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	77
Time series extrinsic regression	50
Deep graph similarity learning: a survey	44
Fake review detection on online E-commerce platforms: a systematic literature review	41
Forecast evaluation for data scientists: common pitfalls and best practices	38
Time series motifs discovery under DTW allows more robust discovery of conserved structure	34
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning	34
Benchmarking and survey of explanation methods for black box models	34
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding	34
End-to-end deep representation learning for time series clustering: a comparative study	33
XEM: An explainable-by-design ensemble method for multivariate time series classification	32
Smoothed dilated convolutions for improved dense prediction	32
Algorithmic fairness datasets: the story so far	31
Word-class embeddings for multiclass text classification	26
Data-driven detection of counterpressing in professional football	25
Graph convolutional networks for traffic forecasting with missing values	22
Improving position encoding of transformers for multivariate time series classification	20
Dataset2Vec: learning dataset meta-features	19
The area under the ROC curve as a measure of clustering quality	19
Hydra: competing convolutional kernels for fast and accurate time series classification	19
A framework for deep constrained clustering	18

Multi-label learning with missing and completely unobserved labels	18
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	18
Grouped feature importance and combined features effect plot	18
Efficient set-valued prediction in multi-class classification	17
Boosting house price predictions using geo-spatial network embedding	16
User preference and embedding learning with implicit feedback for recommender systems	16
Hierarchical message-passing graph neural networks	15
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	15
Cost-sensitive ensemble learning: a unifying framework	15
A survey of deep network techniques all classifiers can adopt	15
Detecting virtual concept drift of regressors without ground truth values	15
INK: knowledge graph embeddings for node classification	15
Expected passes	14
Sequence graph transform (SGT): a feature embedding function for sequence data mining	13
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	12
Extending greedy feature selection algorithms to multiple solutions	12
Simplification of genetic programs: a literature survey	12
Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition	12
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	12
Knowledge graph embedding methods for entity alignment: experimental review	12
Sequential recommendation with metric models based on frequent sequences	12
POI recommendation with queuing time and user interest awareness	11
A deep multimodal model for bug localization	11
Who can receive the pass? A computational model for quantifying availability in soccer	11
An efficient procedure for mining egocentric temporal motifs	11
Robust subgroup discovery	10
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	10
Interpretability, personalization and reliability of a machine learning based clinical decision support system	10
PETSC: pattern-based embedding for time series classification	10
Chebyshev approaches for imbalanced data streams regression models	10
Controlling hallucinations at word level in data-to-text generation	10
A recurrent neural network architecture to model physical activity energy expenditure in older people	9
Synwalk: community detection via random walk modelling	9
ClaSP: parameter-free time series segmentation	9
Stable and actionable explanations of black-box models through factual and counterfactual rules	9
Sufficient dimension reduction for average causal effect estimation	9
Predictive modeling of infant mortality	9
What’s in a name? – gender classification of names with character based machine learning models	9
Novel features for time series analysis: a complex networks approach	9
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling	9
The minimum description length principle for pattern mining: a survey	9
Informative pseudo-labeling for graph neural networks with few labels	9
Early abandoning and pruning for elastic distances including dynamic time warping	9
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns	9
Time series clustering in linear time complexity	8
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously	8
Natural language techniques supporting decision modelers	8
NICE: an algorithm for nearest instance counterfactual explanations	8
Mining communities and their descriptions on attributed graphs: a survey	8
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification	8

The grammar of interactive explanatory model analysis	8
Adversarial balancing-based representation learning for causal effect inference with observational data	8
On GNN explainability with activation rules	8
Neural content-aware collaborative filtering for cold-start music recommendation	8
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers	8
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency	7
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation	7
Interpreting deep learning models with marginal attribution by conditioning on quantiles	7
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	7
An external stability audit framework to test the validity of personality prediction in AI hiring	7
An overlap sensitive neural network for class imbalanced data	7
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering	7
Continuous treatment effect estimation via generative adversarial de-confounding	6
Federated singular value decomposition for high-dimensional data	6
Implicit consensus clustering from multiple graphs	6
Fair detection of poisoning attacks in federated learning on non-i.i.d. data	6
The network-untangling problem: from interactions to activity timelines	6
Sparse randomized shortest paths routing with Tsallis divergence regularization	6
Isolation kernel: the X factor in efficient and effective large scale online kernel learning	6
Parameterizing the cost function of dynamic time warping with application to time series classification	6
Conclusive local interpretation rules for random forests	6
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms	6
CURIE: a cellular automaton for concept drift detection	5
Reflective-net: learning from explanations	5
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series	5
K-plex cover pooling for graph neural networks	5
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	5
Counterfactual explanations as interventions in latent space	5
FuseRec: fusing user and item homophily modeling with temporal recommender systems	5
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	5
Fairness in vulnerable attribute prediction on social media	5
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	5
Scalable classifier-agnostic channel selection for multivariate time series classification	5
An alternating nonmonotone projected Barzilai–Borwein algorithm of nonnegative factorization of big matrices	5
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams	5
Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach	5
Preventing deception with explanation methods using focused sampling	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
Homophily outlier detection in non-IID categorical data	5
Fast, accurate and explainable time series classification through randomization	5
Link prediction in dynamic networks using random dot product graphs	5
Using p-values for the comparison of classifiers: pitfalls and alternatives	4
Generalized core maintenance of dynamic bipartite graphs	4
MERLIN++: parameter-free discovery of time series anomalies	4
Large scale K-means clustering using GPUs	4
An eager splitting strategy for online decision trees in ensembles	4
Z-Time: efficient and effective interpretable multivariate time series classification	4
Hyperbolic node embedding for temporal networks	4
Handling imbalance in hierarchical classification problems using local classifiers approaches	4
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series	4
MultiETSC: automated machine learning for early time series classification	4
Inferring range of information diffusion based on historical frequent items	4
Extended missing data imputation via GANs for ranking applications	4
Practical joint human-machine exploration of industrial time series using the matrix profile	4
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	4
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions	4
Robust regression via error tolerance	4
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	4
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	4
Methods for explaining Top-N recommendations through subgroup discovery	3
Joint leaf-refinement and ensemble pruning through $$L_1$$ regularization	3
Shapley values for cluster importance	3
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches	3
PAC-Bayesian lifelong learning for multi-armed bandits	3
A methodology for refined evaluation of neural code completion approaches	3
Datasets, tasks, and training methods for large-scale hypergraph learning	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
Approximation trees: statistical reproducibility in model distillation	3
Fast computation of Katz index for efficient processing of link prediction queries	3
CrashNet: an encoder–decoder architecture to predict crash test outcomes	3
Enforcing fairness using ensemble of diverse Pareto-optimal models	3
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data	3
Decision tree boosted varying coefficient models	3
Robust and sparse multinomial regression in high dimensions	3
Learning tractable probabilistic models for moral responsibility and blame	3
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions	3
Counterfactual inference with latent variable and its application in mental health care	3
Social explorative attention based recommendation for content distribution platforms	3
A graph convolutional fusion model for community detection in multiplex networks	3
Exploring potential biases towards blockbuster items in ranking-based recommendations	3

Exploring uplift modeling with high class imbalance	3
Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm	3
A case study of improving a non-technical losses detection system through explainability	3
Selego: robust variate selection for accurate time series forecasting	3
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	3
A comparative study of methods for estimating model-agnostic Shapley value explanations	2
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network	2
Regression tree-based active learning	2
Structural learning of simple staged trees	2
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	2
Pseudoinverse graph convolutional networks	2
Mining explainable local and global subgraph patterns with surprising densities	2
Bias characterization, assessment, and mitigation in location-based recommender systems	2
Efficient binary embedding of categorical data using BinSketch	2
kNN matrix profile for knowledge discovery from time series	2
Category tree distance: a taxonomy-based transaction distance for web user analysis	2
Differentially private tree-based redescription mining	2
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	2
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	2
Can local explanation techniques explain linear additive models?	2
Matrix sketching for supervised classification with imbalanced classes	2
Reciprocity in directed hypergraphs: measures, findings, and generators	2
Personalised meta-path generation for heterogeneous graph neural networks	2
Topic change point detection using a mixed Bayesian model	2
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	2
Characterizing attitudinal network graphs through frustration cloud	2
Functional classwise principal component analysis: a classification framework for functional data analysis	2
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection	2
ROhAN: Row-order agnostic null models for statistically-sound knowledge discovery	2
ContE: contextualized knowledge graph embedding for circular relations	2
ConvMOS: climate model output statistics with deep learning	2
Dynamic cyber risk estimation with competitive quantile autoregression	2
Efficient algorithms for fair clustering with a new notion of fairness	2
Structure learning for relational logistic regression: an ensemble approach	2
Ranking with submodular functions on a budget	2
Differentiated matching for individual and average treatment effect estimation	2
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	2
Correlations between random projections and the bivariate normal	2
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture	2
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	2
Robust explainer recommendation for time series classification	2