Data Mining and Knowledge Discovery

Article	Citations
A combinatorial multi-armed bandit approach to correlation clustering	100
Human-in-the-loop handling of knowledge drift	92
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning	83
Improving position encoding of transformers for multivariate time series classification	50
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	48
Affinity analysis for studying physicians’ prescription behavior.	44
Counterfactual explanations as interventions in latent space	42
Expected passes	38
Dataset2Vec: learning dataset meta-features	35
On regime changes in text data using hidden Markov model of contaminated vMF distribution	34
Strengthening ties towards a highly-connected world	34
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	33
Random walks with variable restarts for negative-example-informed label propagation	32
Bounding the family-wise error rate in local causal discovery using Rademacher averages	32
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	31
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	26
Randomnet: clustering time series using untrained deep neural networks	26
Towards effective urban region-of-interest demand modeling via graph representation learning	25
Fast, accurate and explainable time series classification through randomization	23
Community detection in interval-weighted networks	22
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	22
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	20
Introducing the contrast profile: a novel time series primitive that allows real world classification	20
Structure-aware decoupled imputation network for multivariate time series	19
Extended missing data imputation via GANs for ranking applications	18

Controlling hallucinations at word level in data-to-text generation	18
PAC-Bayesian lifelong learning for multi-armed bandits	18
Multi-label learning with missing and completely unobserved labels	17
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting	16
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	15
Exploring uplift modeling with high class imbalance	15
Mondrian forest for data stream classification under memory constraints	15
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams	15
An alternating nonmonotone projected Barzilai–Borwein algorithm of nonnegative factorization of big matrices	15
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets	14
Sequential recommendation with metric models based on frequent sequences	13
The Hadamard decomposition problem	12
Learning a Bayesian network with multiple latent variables for implicit relation representation	12
Active learning with biased non-response to label requests	12
Unsupervised feature based algorithms for time series extrinsic regression	12
Online concept evolution detection based on active learning	12
On the impact of multi-dimensional local differential privacy on fairness	11
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers	11
Adversarial balancing-based representation learning for causal effect inference with observational data	11
Modeling the impact of out-of-schema questions in task-oriented dialog systems	11
Who can receive the pass? A computational model for quantifying availability in soccer	10
NICE: an algorithm for nearest instance counterfactual explanations	10
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	10
Scalable classifier-agnostic channel selection for multivariate time series classification	10
Link prediction in dynamic networks using random dot product graphs	10
Efficient binary embedding of categorical data using BinSketch	10
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent	9
Z-Time: efficient and effective interpretable multivariate time series classification	9
Fair detection of poisoning attacks in federated learning on non-i.i.d. data	9
End-to-end deep representation learning for time series clustering: a comparative study	9
Smoothed dilated convolutions for improved dense prediction	9
Improving Graph Neural Networks by combining active learning with self-training	9
A semi-supervised interactive algorithm for change point detection	9
A two-step anomaly detection based method for PU classification in imbalanced data sets	9
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering	9
Correction to: Studying bias in visual features through the lens of optimal transport	9
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	9
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	8
Enforcing fairness using ensemble of diverse Pareto-optimal models	8
Unsupervised domain adaptation with non-stochastic missing data	8
MIRACLE: Malware image recognition and classification by layered extraction	8
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches	8
An eager splitting strategy for online decision trees in ensembles	8
Reciprocity in directed hypergraphs: measures, findings, and generators	8
Informative pseudo-labeling for graph neural networks with few labels	8
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	8
Missing value replacement in strings and applications	7
An anomaly aware network embedding framework for unsupervised anomalous link detection	7
Hydra: competing convolutional kernels for fast and accurate time series classification	7
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	7

The art of centering without centering for robust principal component analysis	7
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	7
Generalized density attractor clustering for incomplete data	7
Inferring range of information diffusion based on historical frequent items	7
Streaming changepoint detection for transition matrices	6
Homophily outlier detection in non-IID categorical data	6
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series	6
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data	6
CrashNet: an encoder–decoder architecture to predict crash test outcomes	6
Exploring potential biases towards blockbuster items in ranking-based recommendations	6
FRAPPE: fast rank approximation with explainable features for tensors	6
ClaSP: parameter-free time series segmentation	6
Knowledge graph embedding methods for entity alignment: experimental review	6
GeoRF: a geospatial random forest	5
Discord-based counterfactual explanations for time series classification	5
Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN	5
Interpretable linear dimensionality reduction based on bias-variance analysis	5
Ranking with submodular functions on a budget	5
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	5
Data-driven detection of counterpressing in professional football	5
Regularization-based methods for ordinal quantification	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	5
The grammar of interactive explanatory model analysis	5
What’s in a name? – gender classification of names with character based machine learning models	5
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms	5
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures	5
Extending greedy feature selection algorithms to multiple solutions	5
Social norm bias: residual harms of fairness-aware algorithms	5
Shapley values for cluster importance	5
Grouped feature importance and combined features effect plot	5
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	5
Multiple hypergraph convolutional network social recommendation using dual contrastive learning	4
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	4
Representing ensembles of networks for fuzzy cluster analysis: a case study	4
BDRI: block decomposition based on relational interaction for knowledge graph completion	4
Time series extrinsic regression	4
Fairness in vulnerable attribute prediction on social media	4
Studying bias in visual features through the lens of optimal transport	4
Making individually fair predictions with causal pathways	4
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	4
Large scale K-means clustering using GPUs	4
Correction: FRAPPE: fast rank approximation with explainable features for tensors	4
K-plex cover pooling for graph neural networks	4
Bias-aware ranking from pairwise comparisons	4
Correction: Marginal effects for non-linear prediction functions	4
Synwalk: community detection via random walk modelling	4
Structural learning of simple staged trees	4
A graph convolutional fusion model for community detection in multiplex networks	4
ConvMOS: climate model output statistics with deep learning	4
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	3
ContE: contextualized knowledge graph embedding for circular relations	3
Neural content-aware collaborative filtering for cold-start music recommendation	3
Column-coherent matrix decomposition	3
Matrix sketching for supervised classification with imbalanced classes	3
Joint leaf-refinement and ensemble pruning through $$L_1$$ regularization	3
An alternative for data visualization using space-filling curve	3
Counterfactual inference with latent variable and its application in mental health care	3
Methods for explaining Top-N recommendations through subgroup discovery	3
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	3
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	3
Reflective-net: learning from explanations	3
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning	3
Implicit consensus clustering from multiple graphs	3
Residual projection for quantile regression in vertically partitioned big data	3
Robust regression via error tolerance	3
Attention based adversarially regularized learning for network embedding	3
Guest editorial: Special issue on mining for health	3
Preventing deception with explanation methods using focused sampling	3
INK: knowledge graph embeddings for node classification	3
MERLIN++: parameter-free discovery of time series anomalies	3
Improving the core resilience of real-world hypergraphs	3
Can local explanation techniques explain linear additive models?	3
Fusing structural information with knowledge enhanced text representation for knowledge graph completion	2
Intersectional fair ranking via subgroup divergence	2
OEC: an online ensemble classifier for mining data streams with noisy labels	2
Boosting house price predictions using geo-spatial network embedding	2
Effective interpretable learning for large-scale categorical data	2
Isolation kernel: the X factor in efficient and effective large scale online kernel learning	2
Exploring the diverse world of SAX-based methodologies	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
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network	2
PETSC: pattern-based embedding for time series classification	2
Bayesian network Motifs for reasoning over heterogeneous unlinked datasets	2
Opinion dynamics in social networks incorporating higher-order interactions	2
quant: a minimalist interval method for time series classification	2
HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning	2
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding	2
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	2
Differentially Private Distance Learning in Categorical Data	2
Forecast evaluation for data scientists: common pitfalls and best practices	2
Regression tree-based active learning	2
Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems	2
Fast computation of Katz index for efficient processing of link prediction queries	2
Correction to: AA-forecast: anomaly-aware forecast for extreme events	2
Negative-sample-free knowledge graph embedding	2
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	2
MultiETSC: automated machine learning for early time series classification	2
MMA: metadata supported multi-variate attention for onset detection and prediction	2
Dynamic cyber risk estimation with competitive quantile autoregression	2
Intention enhanced mixed attentive model for session-based recommendation	2
Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data	2
A comparative study of methods for estimating model-agnostic Shapley value explanations	2
MASS: distance profile of a query over a time series	2
Towards more sustainable and trustworthy reporting in machine learning	2
A hyperbolic approach for learning communities on graphs	2