Data Mining and Knowledge Discovery

Article	Citations
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	228
Knowledge graph completion based on asymmetric translation and automatic entity type representation	191
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	188
Structural-temporal coupling anomaly detection with dynamic graph transformer	180
Counterfactual explanations as interventions in latent space	153
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	133
Discord-based counterfactual explanations for time series classification	90
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	73
Representing ensembles of networks for fuzzy cluster analysis: a case study	69
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	68
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	65
The grammar of interactive explanatory model analysis	62
Exploring zero-shot essay scoring: from feature-based to LLM-based approaches	54
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	46
Quantitative evaluation of motif sets in time series	45
Correction: Marginal effects for non-linear prediction functions	42
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	34
Hydra: competing convolutional kernels for fast and accurate time series classification	32
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	32
MMA: metadata supported multi-variate attention for onset detection and prediction	31
Leveraging internal representations of GNNs with Shapley values	29
Fitter: post-mining user-preferred co-location patterns interactively	28
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks	27
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	27
Neural content-aware collaborative filtering for cold-start music recommendation	25

Fine-grained multi-prompt essay scoring with multi-level disentanglement	24
Reflective-net: learning from explanations	24
TenGAN: adversarially generating multiplex tensor graphs	23
Approximation trees: statistical reproducibility in model distillation	22
Optirefine: densest subgraphs and maximum cuts with k refinements	22
Correction: Deep anomaly detection with partition contrastive learning for tabular data	22
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	22
SALτ: efficiently stopping TAR by improving priors estimates	22
On computing exact means of time series using the move-split-merge metric	22
Improving neural network’s robustness on tabular data with D-layers	22
Explainable decomposition of nested dense subgraphs	21
Interpretable representations in explainable AI: from theory to practice	20
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	19
AA-forecast: anomaly-aware forecast for extreme events	18
Robust explainer recommendation for time series classification	17
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	17
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	17
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	17
Contextualization of soccer analysis with tactical periodization and machine learning	16
Robust and sparse multinomial regression in high dimensions	16
On GNN explainability with activation rules	16
Efficient algorithms for fair clustering with a new notion of fairness	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	15
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	15
EmbAssi: embedding assignment costs for similarity search in large graph databases	15
Explainable and interpretable machine learning and data mining	15
A multi-class imbalanced data stream classification algorithm based on sample weighting and adaptive oversampling	15
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	15
Multilayer horizontal visibility graphs for multivariate time series analysis	15
SimHawNet: a modified Hawkes process for temporal network simulation	14
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	14
Coupled block diagonal regularization for multi-view subspace clustering	14
Algorithmic fairness datasets: the story so far	14
Metadata supported scale space attention networks for multivariate timeseries prediction	13
When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks	13
Mondrian forest for data stream classification under memory constraints	13
Random walks with variable restarts for negative-example-informed label propagation	13
Bounding the family-wise error rate in local causal discovery using Rademacher averages	13
Bijective graph learning architecture with multi-level attributes interaction	13
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	12
Unsupervised feature based algorithms for time series extrinsic regression	12
Locality adaptive incomplete multi-view subspace clustering	12
Missing value replacement in strings and applications	12
NICE: an algorithm for nearest instance counterfactual explanations	12
Grouped feature importance and combined features effect plot	12
ClaSP: parameter-free time series segmentation	12
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	12
Randomnet: clustering time series using untrained deep neural networks	12
Beyond additivity: sparse isotonic shapley regression toward nonlinear explainability	12

Structural learning of simple staged trees	12
Intersectional fair ranking via subgroup divergence	11
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	11
Hamming encoder: mining discriminative k-mers for discrete sequence classification	11
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	11
Inferring tie strength in temporal networks	11
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11
SFC: a time series decomposition attention network with continuous nature for time series analysis	11
Robust subgroup discovery	10
JammyTS: joint attention and memory network for temporal scoping of facts	10
Stable graph based decision route explanation in siamese neural networks	10
Central node identification via weighted kernel density estimation	10
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	10
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	10
Knowledge graph embedding closed under composition	10
Modelling event sequence data by type-wise neural point process	10
Sequential pattern detection: similarities and differences across various fields	10
Predicted motion pressure—metricizing pressure created by pass rushers in the NFL and predicting their motions using weighted K-nearest neighbors machine learning models	10
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams	9
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	9
Marginal effects for non-linear prediction functions	9
Structural iterative lexicographic autoencoded node representation	8
Binary quantification and dataset shift: an experimental investigation	8
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	8
Topic-aware influence maximization with deep reinforcement learning and graph attention networks	8
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	8
MrTF: model refinery for transductive federated learning	8
Benchmarking and survey of explanation methods for black box models	8
Large language models are zero-shot point-of-interest recommenders	8
An external stability audit framework to test the validity of personality prediction in AI hiring	7
Overlapping community detection with a new modularity measure in directed weighted networks	7
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	7
i-Align: an interpretable knowledge graph alignment model	7
Temporal motif-based representation learning on continuous-time dynamic graphs	7
TSelect: selecting relevant and non-redundant channels for multivariate time series classification	7
Trace alignment algorithm optimization	7
Entity completion for industrial knowledge graph based on zero-shot learning	6
MIRACLE: Malware image recognition and classification by layered extraction	6
Fastere: a fast framework for entity relation extractions	6
On regime changes in text data using hidden Markov model of contaminated vMF distribution	6
Guardnet: an imbalance-aware graph neural network for fraud detection	6
Entropy-regularized multimodal fusion for robust and explainable knowledge graph completion	6
Z-Time: efficient and effective interpretable multivariate time series classification	6
Detecting and reacting to smart home novelties	6
Deep clustering for large-scale interpretable time series segmentation	6
Online concept evolution detection based on active learning	6
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	6
Improving position encoding of transformers for multivariate time series classification	6
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	6
Community detection in interval-weighted networks	6
GeoRF: a geospatial random forest	5
Large scale K-means clustering using GPUs	5
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	5
On the number of iterations of the DBA algorithm	5
MERLIN++: parameter-free discovery of time series anomalies	5
Instance space of clustering validation measures	5
Improving the core resilience of real-world hypergraphs	5
Negative-sample-free knowledge graph embedding	5
Regularization-based methods for ordinal quantification	5
Exploring potential biases towards blockbuster items in ranking-based recommendations	5
Fairness in vulnerable attribute prediction on social media	5
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	5
ContE: contextualized knowledge graph embedding for circular relations	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
OEC: an online ensemble classifier for mining data streams with noisy labels	5
Knowledge graph embedding methods for entity alignment: experimental review	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
ConvMOS: climate model output statistics with deep learning	5
Effective interpretable learning for large-scale categorical data	5
Large language models are few-shot multivariate time series classifiers	5
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	5
Efficient outlier detection in numerical and categorical data	5
Bias characterization, assessment, and mitigation in location-based recommender systems	4
Multi-hop clustering for reasoning chain extraction in multi-hop question answering	4
Multi-neighbor social recommendation with attentional graph convolutional network	4
Relation-aware multimodal data hashing for scalable recommendation systems	4
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation	4
Explainable contextual anomaly detection using quantile regression forests	4

ARL: analogical reinforcement learning for knowledge graph reasoning	4
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	4
Enhancing cluster analysis via topological manifold learning	4
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	4
Uplift modeling with quasi-loss-functions	4
Improving graph-based recommendation with unraveled graph learning	4
The impact of variable ordering on Bayesian network structure learning	4
Tractable probabilistic models and computational complexity	4
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	4
Stratify: unifying multi-step forecasting strategies	4
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	4
Crypsis: an elitism-driven observer-based approach for detection and mitigation of concept drift, concept evolution, and label drift	4
Certifying robustness of graph convolutional networks for node perturbation with polyhedra abstract interpretation	4
Conclusive local interpretation rules for random forests	4
Differentiated matching for individual and average treatment effect estimation	4
kNN matrix profile for knowledge discovery from time series	4
A two-step anomaly detection based method for PU classification in imbalanced data sets	3
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	3
A systematic review of deep learning for structural geological interpretation	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
Learning a consensus sub-network with polarization regularization and one pass training	3
Correction to: Studying bias in visual features through the lens of optimal transport	3
Structure-aware decoupled imputation network for multivariate time series	3
tPARAFAC2: tracking evolving patterns in (incomplete) temporal data	3
Fed-FUEL: fairness and utility enhancing agnostic federated learning framework	3
Hybrid federated continual graph contrastive learning for evolving money laundering threats	3
Design and evaluation of highly accurate smart contract code vulnerability detection framework	3
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation	3
Series2vec: similarity-based self-supervised representation learning for time series classification	3
Multi-relational knowledge graph contrastive learning for link prediction	3
Fast block-wise partitioning for extreme multi-label classification	3
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction	3
LoCoMotif: discovering time-warped motifs in time series	3
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs	3
Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models	3