Data Mining and Knowledge Discovery

Article	Citations
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	238
Knowledge graph completion based on asymmetric translation and automatic entity type representation	196
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	192
Structural-temporal coupling anomaly detection with dynamic graph transformer	192
Counterfactual explanations as interventions in latent space	165
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	140
Discord-based counterfactual explanations for time series classification	92
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	75
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	72
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	70
The grammar of interactive explanatory model analysis	68
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	63
Quantitative evaluation of motif sets in time series	56
Exploring zero-shot essay scoring: from feature-based to LLM-based approaches	49
Representing ensembles of networks for fuzzy cluster analysis: a case study	47
Hydra: competing convolutional kernels for fast and accurate time series classification	43
Correction: Marginal effects for non-linear prediction functions	35
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	35
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	35
Consistent attributions for transformer-based reversible comparison classifiers	31
MMA: metadata supported multi-variate attention for onset detection and prediction	29
Leveraging internal representations of GNNs with Shapley values	29
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	28
Fitter: post-mining user-preferred co-location patterns interactively	28
Reflective-net: learning from explanations	26

Fine-grained multi-prompt essay scoring with multi-level disentanglement	26
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks	26
Neural content-aware collaborative filtering for cold-start music recommendation	24
Correction: Deep anomaly detection with partition contrastive learning for tabular data	23
TenGAN: adversarially generating multiplex tensor graphs	23
Optirefine: densest subgraphs and maximum cuts with k refinements	23
SALτ: efficiently stopping TAR by improving priors estimates	23
Approximation trees: statistical reproducibility in model distillation	23
Improving neural network’s robustness on tabular data with D-layers	22
On computing exact means of time series using the move-split-merge metric	22
AA-forecast: anomaly-aware forecast for extreme events	22
Explainable decomposition of nested dense subgraphs	21
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	21
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	19
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	18
Contextualization of soccer analysis with tactical periodization and machine learning	17
Interpretable representations in explainable AI: from theory to practice	17
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	17
Robust explainer recommendation for time series classification	17
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	16
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	16
EmbAssi: embedding assignment costs for similarity search in large graph databases	16
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	16
On GNN explainability with activation rules	16
Coupled block diagonal regularization for multi-view subspace clustering	16
Explainable and interpretable machine learning and data mining	16
Multilayer horizontal visibility graphs for multivariate time series analysis	16
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	16
Robust and sparse multinomial regression in high dimensions	16
A multi-class imbalanced data stream classification algorithm based on sample weighting and adaptive oversampling	15
SimHawNet: a modified Hawkes process for temporal network simulation	15
Efficient algorithms for fair clustering with a new notion of fairness	15
Mondrian forest for data stream classification under memory constraints	14
Random walks with variable restarts for negative-example-informed label propagation	14
Bijective graph learning architecture with multi-level attributes interaction	14
Algorithmic fairness datasets: the story so far	14
When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks	14
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	14
Bounding the family-wise error rate in local causal discovery using Rademacher averages	13
Metadata supported scale space attention networks for multivariate timeseries prediction	13
Beyond additivity: sparse isotonic shapley regression toward nonlinear explainability	13
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	13
NICE: an algorithm for nearest instance counterfactual explanations	13
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	12
Randomnet: clustering time series using untrained deep neural networks	12
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	12
Locality adaptive incomplete multi-view subspace clustering	12
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	12
Missing value replacement in strings and applications	12
Unsupervised feature based algorithms for time series extrinsic regression	12

Structural learning of simple staged trees	12
SFC: a time series decomposition attention network with continuous nature for time series analysis	12
Hamming encoder: mining discriminative k-mers for discrete sequence classification	11
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	11
ClaSP: parameter-free time series segmentation	11
Robust subgroup discovery	11
Grouped feature importance and combined features effect plot	11
Inferring tie strength in temporal networks	11
Intersectional fair ranking via subgroup divergence	11
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	11
Efficient pruning strategies for mining high utility co-location patterns with negative utility features	10
Sequential pattern detection: similarities and differences across various fields	10
Modelling event sequence data by type-wise neural point process	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
Central node identification via weighted kernel density estimation	10
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	10
Knowledge graph embedding closed under composition	10
Stable graph based decision route explanation in siamese neural networks	10
Research on entity relationship semantic embedded rule mining model for medical graph reasoning	10
JammyTS: joint attention and memory network for temporal scoping of facts	9
Marginal effects for non-linear prediction functions	9
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	9
Binary quantification and dataset shift: an experimental investigation	8
Large language models are zero-shot point-of-interest recommenders	8
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	8
Structural iterative lexicographic autoencoded node representation	8
i-Align: an interpretable knowledge graph alignment model	8
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	8
TSelect: selecting relevant and non-redundant channels for multivariate time series classification	8
Overlapping community detection with a new modularity measure in directed weighted networks	8
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams	8
MrTF: model refinery for transductive federated learning	8
An external stability audit framework to test the validity of personality prediction in AI hiring	7
Benchmarking and survey of explanation methods for black box models	7
Temporal motif-based representation learning on continuous-time dynamic graphs	7
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	7
Topic-aware influence maximization with deep reinforcement learning and graph attention networks	7
Trace alignment algorithm optimization	7
Towards fair evaluation of digital skills training on career adaptability and outcomes	7
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	6
Community detection in interval-weighted networks	6
Entity completion for industrial knowledge graph based on zero-shot learning	6
Improving position encoding of transformers for multivariate time series classification	6
Entropy-regularized multimodal fusion for robust and explainable knowledge graph completion	6
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	6
Deep clustering for large-scale interpretable time series segmentation	6
MIRACLE: Malware image recognition and classification by layered extraction	6
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	6
Guardnet: an imbalance-aware graph neural network for fraud detection	6
Dynamic continuous progressive neural networks for evolving streaming time series	6
Z-Time: efficient and effective interpretable multivariate time series classification	6
On regime changes in text data using hidden Markov model of contaminated vMF distribution	6
Online concept evolution detection based on active learning	6
Fastere: a fast framework for entity relation extractions	6
Improving the core resilience of real-world hypergraphs	5
OEC: an online ensemble classifier for mining data streams with noisy labels	5
Knowledge graph embedding methods for entity alignment: experimental review	5
GeoRF: a geospatial random forest	5
Fairness in vulnerable attribute prediction on social media	5
Detecting and reacting to smart home novelties	5
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	5
Efficient outlier detection in numerical and categorical data	5
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	5
Instance space of clustering validation measures	5
MERLIN++: parameter-free discovery of time series anomalies	5
Dual policy-guided multi-hop path reasoning for explainable knowledge graph recommendation	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
Regularization-based methods for ordinal quantification	5
Effective interpretable learning for large-scale categorical data	5
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	5
Consistent tie-strength labeling for multilayer strong triadic closure	5
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	5
Localization-aware chest X-ray classification via segmentation and gradient-based attention	5
Negative-sample-free knowledge graph embedding	5
Exploring potential biases towards blockbuster items in ranking-based recommendations	5
Large scale K-means clustering using GPUs	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
On the number of iterations of the DBA algorithm	5
ConvMOS: climate model output statistics with deep learning	5

Large language models are few-shot multivariate time series classifiers	5
ContE: contextualized knowledge graph embedding for circular relations	5
Multi-neighbor social recommendation with attentional graph convolutional network	4
Design and evaluation of highly accurate smart contract code vulnerability detection framework	4
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	4
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	4
The impact of variable ordering on Bayesian network structure learning	4
Certifying robustness of graph convolutional networks for node perturbation with polyhedra abstract interpretation	4
Uplift modeling with quasi-loss-functions	4
Differentiated matching for individual and average treatment effect estimation	4
Tractable probabilistic models and computational complexity	4
Conclusive local interpretation rules for random forests	4
Efficient training of deep networks using guided spectral data selection: a step toward learning what you need	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
kNN matrix profile for knowledge discovery from time series	4
Crypsis: an elitism-driven observer-based approach for detection and mitigation of concept drift, concept evolution, and label drift	4
Multi-hop clustering for reasoning chain extraction in multi-hop question answering	4
Improving graph-based recommendation with unraveled graph learning	4
LoCoMotif: discovering time-warped motifs in time series	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation	3
Learning a consensus sub-network with polarization regularization and one pass training	3
Hybrid federated continual graph contrastive learning for evolving money laundering threats	3
Enhancing cluster analysis via topological manifold learning	3
Stratify: unifying multi-step forecasting strategies	3
A framework fusing entity concepts and GAN negative sampling for improving knowledge reasoning	3
Multi-relational knowledge graph contrastive learning for link prediction	3
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs	3
A systematic review of deep learning for structural geological interpretation	3
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	3
Bias characterization, assessment, and mitigation in location-based recommender systems	3
Multi-hop reasoning model for knowledge graph completion on the example of the telecommunications domain	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
Series2vec: similarity-based self-supervised representation learning for time series classification	3