Data Mining and Knowledge Discovery

Article	Citations
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series	138
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	104
Randomnet: clustering time series using untrained deep neural networks	98
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	78
MIRACLE: Malware image recognition and classification by layered extraction	57
NICE: an algorithm for nearest instance counterfactual explanations	55
Active learning with biased non-response to label requests	49
On the impact of multi-dimensional local differential privacy on fairness	46
Modeling the impact of out-of-schema questions in task-oriented dialog systems	42
An alternating nonmonotone projected Barzilai–Borwein algorithm of nonnegative factorization of big matrices	41
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	40
Human-in-the-loop handling of knowledge drift	38
Affinity analysis for studying physicians’ prescription behavior.	37
Strengthening ties towards a highly-connected world	36
Community detection in interval-weighted networks	35
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	34
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers	32
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	31
On regime changes in text data using hidden Markov model of contaminated vMF distribution	31
A two-step anomaly detection based method for PU classification in imbalanced data sets	29
Expected passes	25
Improving Graph Neural Networks by combining active learning with self-training	23
Efficient binary embedding of categorical data using BinSketch	21
PAC-Bayesian lifelong learning for multi-armed bandits	20
Learning a Bayesian network with multiple latent variables for implicit relation representation	19

Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	18
Controlling hallucinations at word level in data-to-text generation	18
Correction to: Studying bias in visual features through the lens of optimal transport	17
Counterfactual explanations as interventions in latent space	17
The Hadamard decomposition problem	17
Online concept evolution detection based on active learning	16
Link prediction in dynamic networks using random dot product graphs	15
Random walks with variable restarts for negative-example-informed label propagation	15
Adversarial balancing-based representation learning for causal effect inference with observational data	15
Unsupervised feature based algorithms for time series extrinsic regression	15
Bounding the family-wise error rate in local causal discovery using Rademacher averages	15
Fair detection of poisoning attacks in federated learning on non-i.i.d. data	15
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	14
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	14
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting	14
Exploring uplift modeling with high class imbalance	14
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	14
Introducing the contrast profile: a novel time series primitive that allows real world classification	14
Towards effective urban region-of-interest demand modeling via graph representation learning	13
Z-Time: efficient and effective interpretable multivariate time series classification	13
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	13
A semi-supervised interactive algorithm for change point detection	12
Fast, accurate and explainable time series classification through randomization	12
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	12
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	12
Mondrian forest for data stream classification under memory constraints	11
Scalable classifier-agnostic channel selection for multivariate time series classification	11
Who can receive the pass? A computational model for quantifying availability in soccer	11
A combinatorial multi-armed bandit approach to correlation clustering	11
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering	11
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	11
End-to-end deep representation learning for time series clustering: a comparative study	11
Structure-aware decoupled imputation network for multivariate time series	11
Smoothed dilated convolutions for improved dense prediction	11
Improving position encoding of transformers for multivariate time series classification	11
Extended missing data imputation via GANs for ranking applications	11
Extending greedy feature selection algorithms to multiple solutions	10
Knowledge graph embedding methods for entity alignment: experimental review	10
TED: related party transaction guided tax evasion detection on heterogeneous graph	10
Informative pseudo-labeling for graph neural networks with few labels	10
Missing value replacement in strings and applications	10
Inferring tie strength in temporal networks	10
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures	9
Data-driven detection of counterpressing in professional football	9
Streaming changepoint detection for transition matrices	9
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	9
Studying bias in visual features through the lens of optimal transport	9
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series	9
Correction: FRAPPE: fast rank approximation with explainable features for tensors	9
Grouped feature importance and combined features effect plot	9

TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	8
K-plex cover pooling for graph neural networks	8
Ranking with submodular functions on a budget	8
Unsupervised domain adaptation with non-stochastic missing data	8
A graph convolutional fusion model for community detection in multiplex networks	8
Homophily outlier detection in non-IID categorical data	8
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data	7
The grammar of interactive explanatory model analysis	7
The art of centering without centering for robust principal component analysis	7
Exploring potential biases towards blockbuster items in ranking-based recommendations	7
An eager splitting strategy for online decision trees in ensembles	7
Synwalk: community detection via random walk modelling	7
What’s in a name? – gender classification of names with character based machine learning models	7
BDRI: block decomposition based on relational interaction for knowledge graph completion	7
Hydra: competing convolutional kernels for fast and accurate time series classification	7
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	6
An anomaly aware network embedding framework for unsupervised anomalous link detection	6
Structural learning of simple staged trees	6
Representing ensembles of networks for fuzzy cluster analysis: a case study	6
Generalized density attractor clustering for incomplete data	6
Enforcing fairness using ensemble of diverse Pareto-optimal models	6
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms	6
CrashNet: an encoder–decoder architecture to predict crash test outcomes	6
Interpretable linear dimensionality reduction based on bias-variance analysis	6
Correction: Marginal effects for non-linear prediction functions	6
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	6
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	5
Regularization-based methods for ordinal quantification	5
Reciprocity in directed hypergraphs: measures, findings, and generators	5
FRAPPE: fast rank approximation with explainable features for tensors	5
Discord-based counterfactual explanations for time series classification	5
Multiple hypergraph convolutional network social recommendation using dual contrastive learning	5
Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN	5
ClaSP: parameter-free time series segmentation	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
GeoRF: a geospatial random forest	5
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	4
Inferring range of information diffusion based on historical frequent items	4
Social norm bias: residual harms of fairness-aware algorithms	4
Attention based adversarially regularized learning for network embedding	4
Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems	4
A hyperbolic approach for learning communities on graphs	4
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	4
Shapley values for cluster importance	4
Guest editorial: Special issue on mining for health	4
Reflective-net: learning from explanations	4
Correction to: AA-forecast: anomaly-aware forecast for extreme events	4
MultiETSC: automated machine learning for early time series classification	4
Bias-aware ranking from pairwise comparisons	4
Large scale K-means clustering using GPUs	4
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	4
Fairness in vulnerable attribute prediction on social media	4
An alternative for data visualization using space-filling curve	4
MERLIN++: parameter-free discovery of time series anomalies	4
PETSC: pattern-based embedding for time series classification	4
Improving the core resilience of real-world hypergraphs	3
Differentially Private Distance Learning in Categorical Data	3
Methods for explaining Top-N recommendations through subgroup discovery	3
Fast computation of Katz index for efficient processing of link prediction queries	3
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network	3
Neural content-aware collaborative filtering for cold-start music recommendation	3
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	3
Joint leaf-refinement and ensemble pruning through $$L_1$$ regularization	3
Effective interpretable learning for large-scale categorical data	3
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	3
Negative-sample-free knowledge graph embedding	3
Column-coherent matrix decomposition	3
Opinion dynamics in social networks incorporating higher-order interactions	3
Fusing structural information with knowledge enhanced text representation for knowledge graph completion	3
Boosting house price predictions using geo-spatial network embedding	3
Meta-path based proximity learning in heterogeneous information networks	3
Intersectional fair ranking via subgroup divergence	3
Counterfactual inference with latent variable and its application in mental health care	3
Robust regression via error tolerance	3
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	3
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	3
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	3
Bayesian network Motifs for reasoning over heterogeneous unlinked datasets	3
quant: a minimalist interval method for time series classification	3
INK: knowledge graph embeddings for node classification	3

Isolation kernel: the X factor in efficient and effective large scale online kernel learning	3
Making individually fair predictions with causal pathways	3
ConvMOS: climate model output statistics with deep learning	3
Dynamic cyber risk estimation with competitive quantile autoregression	3
Residual projection for quantile regression in vertically partitioned big data	3
HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning	3
Intention enhanced mixed attentive model for session-based recommendation	3
Exploring the diverse world of SAX-based methodologies	3
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning	2
The minimum description length principle for pattern mining: a survey	2
Implicit consensus clustering from multiple graphs	2
Improving graph-based recommendation with unraveled graph learning	2
Preventing deception with explanation methods using focused sampling	2
MMA: metadata supported multi-variate attention for onset detection and prediction	2
ContE: contextualized knowledge graph embedding for circular relations	2
Effective signal reconstruction from multiple ranked lists via convex optimization	2
Matrix sketching for supervised classification with imbalanced classes	2
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions	2
OEC: an online ensemble classifier for mining data streams with noisy labels	2
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation	2
A comparative study of methods for estimating model-agnostic Shapley value explanations	2
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	2
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	2
On computing exact means of time series using the move-split-merge metric	2
MASS: distance profile of a query over a time series	2
Forming coordinated teams that balance task coverage and expert workload	2
POI recommendation with queuing time and user interest awareness	2
Regression tree-based active learning	2
Time series clustering with random convolutional kernels	2
Can local explanation techniques explain linear additive models?	2
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	2
Fake review detection on online E-commerce platforms: a systematic literature review	2
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding	2
Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data	2
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering	2
Efficient outlier detection in numerical and categorical data	2
Forecast evaluation for data scientists: common pitfalls and best practices	2
Widening: using parallel resources to improve model quality	2
A comparative evaluation of clustering-based outlier detection	2
XEM: An explainable-by-design ensemble method for multivariate time series classification	2
Towards more sustainable and trustworthy reporting in machine learning	2
A practical approach to novel class discovery in tabular data	2