Data Mining and Knowledge Discovery

Article	Citations
InceptionTime: Finding AlexNet for time series classification	562
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels	364
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances	195
A survey of community detection methods in multilayer networks	76
Challenges in benchmarking stream learning algorithms with real-world data	60
Counterfactual explanations and how to find them: literature review and benchmarking	58
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	49
Deep graph similarity learning: a survey	37
Deep soccer analytics: learning an action-value function for evaluating soccer players	36
An efficient K-means clustering algorithm for tall data	36
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	35
Time series extrinsic regression	34
Matrix profile goes MAD: variable-length motif and discord discovery in data series	34
TEASER: early and accurate time series classification	32
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding	30
Fake review detection on online E-commerce platforms: a systematic literature review	30
Smoothed dilated convolutions for improved dense prediction	29
Time series motifs discovery under DTW allows more robust discovery of conserved structure	28
ColluEagle: collusive review spammer detection using Markov random fields	26
Scalable attack on graph data by injecting vicious nodes	26
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions	24
Forecast evaluation for data scientists: common pitfalls and best practices	24
Word-class embeddings for multiclass text classification	23
End-to-end deep representation learning for time series clustering: a comparative study	22
XEM: An explainable-by-design ensemble method for multivariate time series classification	22

Data-driven detection of counterpressing in professional football	22
Active learning for hierarchical multi-label classification	19
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning	19
ABBA: adaptive Brownian bridge-based symbolic aggregation of time series	17
Gaussian bandwidth selection for manifold learning and classification	16
Algorithmic fairness datasets: the story so far	16
Treant: training evasion-aware decision trees	16
A framework for deep constrained clustering	15
Multi-label learning with missing and completely unobserved labels	15
Efficient mining of the most significant patterns with permutation testing	15
User preference and embedding learning with implicit feedback for recommender systems	15
Benchmarking and survey of explanation methods for black box models	14
struc2gauss: Structural role preserving network embedding via Gaussian embedding	14
INK: knowledge graph embeddings for node classification	14
MIDIA: exploring denoising autoencoders for missing data imputation	14
A survey of deep network techniques all classifiers can adopt	14
The area under the ROC curve as a measure of clustering quality	14
Grouped feature importance and combined features effect plot	13
Dataset2Vec: learning dataset meta-features	13
Graph convolutional networks for traffic forecasting with missing values	13
Extending greedy feature selection algorithms to multiple solutions	12
Sequential recommendation with metric models based on frequent sequences	12
Efficient set-valued prediction in multi-class classification	12
Cost-sensitive ensemble learning: a unifying framework	11
Expected passes	11
Detecting virtual concept drift of regressors without ground truth values	11
PETSC: pattern-based embedding for time series classification	10
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	10
A deep multimodal model for bug localization	10
Boosting house price predictions using geo-spatial network embedding	10
An ultra-fast time series distance measure to allow data mining in more complex real-world deployments	10
An efficient procedure for mining egocentric temporal motifs	10
Hydra: competing convolutional kernels for fast and accurate time series classification	10
Large-scale network motif analysis using compression	9
Bayesian mean-parameterized nonnegative binary matrix factorization	9
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	9
For real: a thorough look at numeric attributes in subgroup discovery	9
Controlling hallucinations at word level in data-to-text generation	9
Robust subgroup discovery	9
Who can receive the pass? A computational model for quantifying availability in soccer	9
Hierarchical message-passing graph neural networks	8
Simplification of genetic programs: a literature survey	8
Mining communities and their descriptions on attributed graphs: a survey	8
Chebyshev approaches for imbalanced data streams regression models	8
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling	8
Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition	8
Interpretability, personalization and reliability of a machine learning based clinical decision support system	7
Natural language techniques supporting decision modelers	7
Early abandoning and pruning for elastic distances including dynamic time warping	7
On GNN explainability with activation rules	7

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations	7
Introducing time series snippets: a new primitive for summarizing long time series	7
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	7
Time series clustering in linear time complexity	6
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns	6
An overlap sensitive neural network for class imbalanced data	6
POI recommendation with queuing time and user interest awareness	6
Neural content-aware collaborative filtering for cold-start music recommendation	6
What’s in a name? – gender classification of names with character based machine learning models	6
Improving position encoding of transformers for multivariate time series classification	6
Sequence graph transform (SGT): a feature embedding function for sequence data mining	6
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	6
Sufficient dimension reduction for average causal effect estimation	6
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously	6
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification	6
TEAGS: time-aware text embedding approach to generate subgraphs	6
Novel features for time series analysis: a complex networks approach	6
A recurrent neural network architecture to model physical activity energy expenditure in older people	6
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency	6
The minimum description length principle for pattern mining: a survey	6
ClaSP: parameter-free time series segmentation	6
Adversarial balancing-based representation learning for causal effect inference with observational data	6
Interpreting deep learning models with marginal attribution by conditioning on quantiles	5
Implicit consensus clustering from multiple graphs	5
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering	5
An external stability audit framework to test the validity of personality prediction in AI hiring	5
Predictive modeling of infant mortality	5
CrawlSN: community-aware data acquisition with maximum willingness in online social networks	5
An alternating nonmonotone projected Barzilai–Borwein algorithm of nonnegative factorization of big matrices	5
The network-untangling problem: from interactions to activity timelines	5
Isolation kernel: the X factor in efficient and effective large scale online kernel learning	5
Synwalk: community detection via random walk modelling	5
Continuous treatment effect estimation via generative adversarial de-confounding	4
CURIE: a cellular automaton for concept drift detection	4
Robust regression via error tolerance	4
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	4
Link prediction in dynamic networks using random dot product graphs	4
Online summarization of dynamic graphs using subjective interestingness for sequential data	4
Sparse randomized shortest paths routing with Tsallis divergence regularization	4
Recency-based sequential pattern mining in multiple event sequences	4
An eager splitting strategy for online decision trees in ensembles	4
Stable and actionable explanations of black-box models through factual and counterfactual rules	4
FuseRec: fusing user and item homophily modeling with temporal recommender systems	4
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	4
Informative pseudo-labeling for graph neural networks with few labels	4
Homophily outlier detection in non-IID categorical data	4
Large scale K-means clustering using GPUs	3
Fair detection of poisoning attacks in federated learning on non-i.i.d. data	3
Fast, accurate and explainable time series classification through randomization	3
Hyperbolic node embedding for temporal networks	3
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions	3
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation	3
MultiETSC: automated machine learning for early time series classification	3
Fairness in vulnerable attribute prediction on social media	3
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	3
CrashNet: an encoder–decoder architecture to predict crash test outcomes	3
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches	3
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers	3
Scalable classifier-agnostic channel selection for multivariate time series classification	3
Handling imbalance in hierarchical classification problems using local classifiers approaches	3
Conclusive local interpretation rules for random forests	3
Preventing deception with explanation methods using focused sampling	3
Social explorative attention based recommendation for content distribution platforms	3
Enforcing fairness using ensemble of diverse Pareto-optimal models	3
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	3
Exploring potential biases towards blockbuster items in ranking-based recommendations	3
Extended missing data imputation via GANs for ranking applications	3
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	3
Federated singular value decomposition for high-dimensional data	3
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions	3
Reflective-net: learning from explanations	3
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	3
The grammar of interactive explanatory model analysis	3
K-plex cover pooling for graph neural networks	3
Pseudoinverse graph convolutional networks	2
Counterfactual inference with latent variable and its application in mental health care	2
Matrix sketching for supervised classification with imbalanced classes	2
Knowledge graph embedding methods for entity alignment: experimental review	2
Counterfactual explanations as interventions in latent space	2
kNN matrix profile for knowledge discovery from time series	2

Selego: robust variate selection for accurate time series forecasting	2
ROhAN: Row-order agnostic null models for statistically-sound knowledge discovery	2
Structure learning for relational logistic regression: an ensemble approach	2
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series	2
Visualizing image content to explain novel image discovery	2
ConvMOS: climate model output statistics with deep learning	2
Using p-values for the comparison of classifiers: pitfalls and alternatives	2
Fast computation of Katz index for efficient processing of link prediction queries	2
Mining explainable local and global subgraph patterns with surprising densities	2
Shapley values for cluster importance	2
Exploring uplift modeling with high class imbalance	2
Robust and sparse multinomial regression in high dimensions	2
Regularized impurity reduction: accurate decision trees with complexity guarantees	2
Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach	2
Personalised meta-path generation for heterogeneous graph neural networks	2
Generalized core maintenance of dynamic bipartite graphs	2
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams	2
Joint leaf-refinement and ensemble pruning through $$L_1$$ regularization	2
A case study of improving a non-technical losses detection system through explainability	2
Dynamic cyber risk estimation with competitive quantile autoregression	2
Inferring range of information diffusion based on historical frequent items	2
PAC-Bayesian lifelong learning for multi-armed bandits	2
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data	2
Characterizing attitudinal network graphs through frustration cloud	2
Learning tractable probabilistic models for moral responsibility and blame	2
Parameterizing the cost function of dynamic time warping with application to time series classification	2
Topic change point detection using a mixed Bayesian model	2
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	2
Decision tree boosted varying coefficient models	2
ContE: contextualized knowledge graph embedding for circular relations	2