Data Mining and Knowledge Discovery

Article	Citations
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	265
Knowledge graph completion based on asymmetric translation and automatic entity type representation	226
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	210
Structural-temporal coupling anomaly detection with dynamic graph transformer	191
Counterfactual explanations as interventions in latent space	155
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	93
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification	86
Exploring zero-shot essay scoring: from feature-based to LLM-based approaches	78
Representing ensembles of networks for fuzzy cluster analysis: a case study	75
Correction: Marginal effects for non-linear prediction functions	74
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	66
Discord-based counterfactual explanations for time series classification	59
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	49
FastPACE: Fast PlAnning of Counterfactual Explanations for time series classification	48
Quantitative evaluation of motif sets in time series	41
The grammar of interactive explanatory model analysis	41
Hydra: competing convolutional kernels for fast and accurate time series classification	35
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	34
T-TExTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation	32
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	32
Consistent attributions for transformer-based reversible comparison classifiers	31
Fitter: post-mining user-preferred co-location patterns interactively	30
Leveraging internal representations of GNNs with Shapley values	30
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	29
Fine-grained multi-prompt essay scoring with multi-level disentanglement	27

Reflective-net: learning from explanations	27
Neural content-aware collaborative filtering for cold-start music recommendation	27
MMA: metadata supported multi-variate attention for onset detection and prediction	26
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks	26
TenGAN: adversarially generating multiplex tensor graphs	26
Optirefine: densest subgraphs and maximum cuts with k refinements	25
Correction: Deep anomaly detection with partition contrastive learning for tabular data	25
On computing exact means of time series using the move-split-merge metric	24
Improving neural network’s robustness on tabular data with D-layers	24
Approximation trees: statistical reproducibility in model distillation	22
Explainable decomposition of nested dense subgraphs	22
Interpretable representations in explainable AI: from theory to practice	20
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	20
Robust explainer recommendation for time series classification	20
AA-forecast: anomaly-aware forecast for extreme events	20
Detection of unobserved common causes under additive noise models based on NML code for discrete, mixed, and continuous variables	20
SALτ: efficiently stopping TAR by improving priors estimates	20
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles	19
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	19
Robust and sparse multinomial regression in high dimensions	18
Contextualization of soccer analysis with tactical periodization and machine learning	18
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	18
On GNN explainability with activation rules	17
Explainable and interpretable machine learning and data mining	17
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	17
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	17
Multilayer horizontal visibility graphs for multivariate time series analysis	17
A multi-class imbalanced data stream classification algorithm based on sample weighting and adaptive oversampling	16
SimHawNet: a modified Hawkes process for temporal network simulation	16
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	16
When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks	15
Algorithmic fairness datasets: the story so far	15
Random walks with variable restarts for negative-example-informed label propagation	15
Efficient algorithms for fair clustering with a new notion of fairness	15
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts	15
Randomnet: clustering time series using untrained deep neural networks	14
Mondrian forest for data stream classification under memory constraints	14
Bounding the family-wise error rate in local causal discovery using Rademacher averages	14
Bijective graph learning architecture with multi-level attributes interaction	14
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	14
Beyond additivity: sparse isotonic shapley regression toward nonlinear explainability	14
Metadata supported scale space attention networks for multivariate timeseries prediction	13
ClaSP: parameter-free time series segmentation	13
Unsupervised feature based algorithms for time series extrinsic regression	13
SFC: a time series decomposition attention network with continuous nature for time series analysis	13
NICE: an algorithm for nearest instance counterfactual explanations	13
Missing value replacement in strings and applications	12
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	12
Locality adaptive incomplete multi-view subspace clustering	12
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	12

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

Localization-aware chest X-ray classification via segmentation and gradient-based attention	5
OEC: an online ensemble classifier for mining data streams with noisy labels	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
Anomaly detection for evolving maritime trajectories with continual learning	5
MERLIN++: parameter-free discovery of time series anomalies	5
Instance space of clustering validation measures	5
Explainable contextual anomaly detection using quantile regression forests	4
Multi-neighbor social recommendation with attentional graph convolutional network	4
Tractable probabilistic models and computational complexity	4
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	4
Bias characterization, assessment, and mitigation in location-based recommender systems	4
Uplift modeling with quasi-loss-functions	4
Efficient training of deep networks using guided spectral data selection: a step toward learning what you need	4
ARL: analogical reinforcement learning for knowledge graph reasoning	4
kNN matrix profile for knowledge discovery from time series	4
Relation-aware multimodal data hashing for scalable recommendation systems	4
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	4
Certifying robustness of graph convolutional networks for node perturbation with polyhedra abstract interpretation	4
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation	4
Differentiated matching for individual and average treatment effect estimation	4
The impact of variable ordering on Bayesian network structure learning	4
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	4
Multi-hop clustering for reasoning chain extraction in multi-hop question answering	4
Regularized impurity reduction: accurate decision trees with complexity guarantees	4
Learning a consensus sub-network with polarization regularization and one pass training	3
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs	3
Enhancing cluster analysis via topological manifold learning	3
A framework fusing entity concepts and GAN negative sampling for improving knowledge reasoning	3
Fast block-wise partitioning for extreme multi-label classification	3
Multi-relational knowledge graph contrastive learning for link prediction	3
Design and evaluation of highly accurate smart contract code vulnerability detection framework	3
Multi-hop reasoning model for knowledge graph completion on the example of the telecommunications domain	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
Stratify: unifying multi-step forecasting strategies	3
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction	2
Hybrid federated continual graph contrastive learning for evolving money laundering threats	2
The Hadamard decomposition problem	2
Deep anomaly detection with partition contrastive learning for tabular data	2
Reciprocity in directed hypergraphs: measures, findings, and generators	2
A clustering framework for skewed features with low true cluster separation	2
Proxy-enhanced cross-domain sequential recommendation	2
Correction: FRAPPE: fast rank approximation with explainable features for tensors	2
Correction to: Studying bias in visual features through the lens of optimal transport	2
Generalized density attractor clustering for incomplete data	2
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	2
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	2
A combinatorial multi-armed bandit approach to correlation clustering	2
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation	2
Topology only pre-training: towards generalised multi-domain graph models	2
Series2vec: similarity-based self-supervised representation learning for time series classification	2
A hyperbolic approach for learning communities on graphs	2
Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN	2
The art of centering without centering for robust principal component analysis	2
An anomaly aware network embedding framework for unsupervised anomalous link detection	2
Structured temporal representation in time series classification with ROCKETs and hyperdimensional computing	2
tPARAFAC2: tracking evolving patterns in (incomplete) temporal data	2
Social norm bias: residual harms of fairness-aware algorithms	2
Scalable classifier-agnostic channel selection for multivariate time series classification	2
Structure-aware decoupled imputation network for multivariate time series	2
Exploring uplift modeling with high class imbalance	2
A systematic review of deep learning for structural geological interpretation	2
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series	2
Clustering using GRASP and path relinking for the max k-cut problem	2
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network	2
A method for the systematic generation of graph XAI benchmarks via Weisfeiler–Leman coloring	2
Enforcing fairness using ensemble of diverse Pareto-optimal models	2
A regional representation method based on modeling bidirectional interrelationships between pairwise POI categories	2
FRAPPE: fast rank approximation with explainable features for tensors	2
Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models	2
A two-step anomaly detection based method for PU classification in imbalanced data sets	2
Fed-FUEL: fairness and utility enhancing agnostic federated learning framework	2