Data Mining and Knowledge Discovery

Article	Citations
A probabilistic model for API contract specification retrieval focusing on the openAPI standard	215
Knowledge graph completion based on asymmetric translation and automatic entity type representation	161
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora	137
Who can receive the pass? A computational model for quantifying availability in soccer	127
Counterfactual explanations as interventions in latent space	110
Correction: Marginal effects for non-linear prediction functions	92
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment	87
Representing ensembles of networks for fuzzy cluster analysis: a case study	67
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration	55
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions	51
Discord-based counterfactual explanations for time series classification	49
The grammar of interactive explanatory model analysis	48
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)	46
Hydra: competing convolutional kernels for fast and accurate time series classification	45
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring	44
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion	38
Fine-grained multi-prompt essay scoring with multi-level disentanglement	31
MMA: metadata supported multi-variate attention for onset detection and prediction	28
Dynamic cyber risk estimation with competitive quantile autoregression	27
Leveraging internal representations of GNNs with Shapley values	24
Neural content-aware collaborative filtering for cold-start music recommendation	24
Wisdom of the contexts: active ensemble learning for contextual anomaly detection	24
SALτ: efficiently stopping TAR by improving priors estimates	23
Reflective-net: learning from explanations	23
TenGAN: adversarially generating multiplex tensor graphs	23

Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms	23
Explainable decomposition of nested dense subgraphs	21
Approximation trees: statistical reproducibility in model distillation	21
On computing exact means of time series using the move-split-merge metric	21
Optirefine: densest subgraphs and maximum cuts with k refinements	20
Correction: Deep anomaly detection with partition contrastive learning for tabular data	20
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware	20
Robust explainer recommendation for time series classification	19
Improving neural network’s robustness on tabular data with D-layers	18
AA-forecast: anomaly-aware forecast for extreme events	18
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification	18
Interpretable representations in explainable AI: from theory to practice	18
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
Multilayer horizontal visibility graphs for multivariate time series analysis	17
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data	17
Explainable and interpretable machine learning and data mining	16
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy	16
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation	16
Robust and sparse multinomial regression in high dimensions	16
On GNN explainability with activation rules	16
EmbAssi: embedding assignment costs for similarity search in large graph databases	15
Sky-signatures: detecting and characterizing recurrent behavior in sequential data	15
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization	15
Algorithmic fairness datasets: the story so far	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
SimHawNet: a modified Hawkes process for temporal network simulation	14
Efficient algorithms for fair clustering with a new notion of fairness	13
Random walks with variable restarts for negative-example-informed label propagation	13
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications	13
PAC-Bayesian lifelong learning for multi-armed bandits	12
Metadata supported scale space attention networks for multivariate timeseries prediction	12
Bounding the family-wise error rate in local causal discovery using Rademacher averages	12
Mondrian forest for data stream classification under memory constraints	12
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification	11
Randomnet: clustering time series using untrained deep neural networks	11
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification	11
NICE: an algorithm for nearest instance counterfactual explanations	11
Inferring tie strength in temporal networks	11
Locality adaptive incomplete multi-view subspace clustering	11
Unsupervised feature based algorithms for time series extrinsic regression	11
Making clusterings fairer by post-processing: algorithms, complexity results and experiments	11
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach	10
Grouped feature importance and combined features effect plot	10
Structural learning of simple staged trees	10
An eager splitting strategy for online decision trees in ensembles	10
SFC: a time series decomposition attention network with continuous nature for time series analysis	10
Missing value replacement in strings and applications	9
Synwalk: community detection via random walk modelling	9

Sequential pattern detection: similarities and differences across various fields	9
Hamming encoder: mining discriminative k-mers for discrete sequence classification	9
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation	9
PETSC: pattern-based embedding for time series classification	9
Intersectional fair ranking via subgroup divergence	9
ClaSP: parameter-free time series segmentation	9
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels	9
Knowledge graph embedding closed under composition	9
Sentiment analysis in tweets: an assessment study from classical to modern word representation models	8
Stable graph based decision route explanation in siamese neural networks	8
JammyTS: joint attention and memory network for temporal scoping of facts	8
Central node identification via weighted kernel density estimation	8
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction	8
Robust subgroup discovery	8
Modelling event sequence data by type-wise neural point process	8
Bake off redux: a review and experimental evaluation of recent time series classification algorithms	8
Marginal effects for non-linear prediction functions	7
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference	7
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams	7
TSelect: selecting relevant and non-redundant channels for multivariate time series classification	7
Topic-aware influence maximization with deep reinforcement learning and graph attention networks	7
Large language models are zero-shot point-of-interest recommenders	7
Overlapping community detection with a new modularity measure in directed weighted networks	7
Trace alignment algorithm optimization	7
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs	6
Structural iterative lexicographic autoencoded node representation	6
On regime changes in text data using hidden Markov model of contaminated vMF distribution	6
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data	6
MIRACLE: Malware image recognition and classification by layered extraction	6
i-Align: an interpretable knowledge graph alignment model	6
Benchmarking and survey of explanation methods for black box models	6
An external stability audit framework to test the validity of personality prediction in AI hiring	6
Strengthening ties towards a highly-connected world	6
Online concept evolution detection based on active learning	6
Binary quantification and dataset shift: an experimental investigation	6
MrTF: model refinery for transductive federated learning	6
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback	6
Z-Time: efficient and effective interpretable multivariate time series classification	6
Community detection in interval-weighted networks	6
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains	6
On the number of iterations of the DBA algorithm	5
Exploring potential biases towards blockbuster items in ranking-based recommendations	5
Negative-sample-free knowledge graph embedding	5
Fairness in vulnerable attribute prediction on social media	5
Improving position encoding of transformers for multivariate time series classification	5
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams	5
Knowledge graph embedding methods for entity alignment: experimental review	5
Large scale K-means clustering using GPUs	5
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space	5
Detecting and reacting to smart home novelties	5
Regularization-based methods for ordinal quantification	5
GeoRF: a geospatial random forest	5
Robust regression via error tolerance	5
Fastere: a fast framework for entity relation extractions	5
BDRI: block decomposition based on relational interaction for knowledge graph completion	5
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach	4
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification	4
Counterfactual inference with latent variable and its application in mental health care	4
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes	4
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation	4
Improving graph-based recommendation with unraveled graph learning	4
Uplift modeling with quasi-loss-functions	4
The impact of variable ordering on Bayesian network structure learning	4
Differentiated matching for individual and average treatment effect estimation	4
Improving the core resilience of real-world hypergraphs	4
ConvMOS: climate model output statistics with deep learning	4
Effective interpretable learning for large-scale categorical data	4
MERLIN++: parameter-free discovery of time series anomalies	4
Large language models are few-shot multivariate time series classifiers	4
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction	4
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers	4
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions	4
Multi-neighbor social recommendation with attentional graph convolutional network	4
INK: knowledge graph embeddings for node classification	4
Efficient outlier detection in numerical and categorical data	4
ContE: contextualized knowledge graph embedding for circular relations	4
OEC: an online ensemble classifier for mining data streams with noisy labels	4
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation	4
Explaining deep convolutional models by measuring the influence of interpretable features in image classification	4
Conclusive local interpretation rules for random forests	4

Explainable contextual anomaly detection using quantile regression forests	4
Provable randomized rounding for minimum-similarity diversification	4
Enhancing cluster analysis via topological manifold learning	3
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction	3
Correction to: Studying bias in visual features through the lens of optimal transport	3
Regularized impurity reduction: accurate decision trees with complexity guarantees	3
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs	3
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm	3
Fed-FUEL: fairness and utility enhancing agnostic federated learning framework	3
Multi-relational knowledge graph contrastive learning for link prediction	3
Tractable probabilistic models and computational complexity	3
Bias characterization, assessment, and mitigation in location-based recommender systems	3
A systematic review of deep learning for structural geological interpretation	3
Design and evaluation of highly accurate smart contract code vulnerability detection framework	3
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series	3
kNN matrix profile for knowledge discovery from time series	3
A combinatorial multi-armed bandit approach to correlation clustering	3
Learning a consensus sub-network with polarization regularization and one pass training	3
LoCoMotif: discovering time-warped motifs in time series	3
ARL: analogical reinforcement learning for knowledge graph reasoning	3
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation	3
Fast block-wise partitioning for extreme multi-label classification	3
A two-step anomaly detection based method for PU classification in imbalanced data sets	3
Stratify: unifying multi-step forecasting strategies	3
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes	3
Series2vec: similarity-based self-supervised representation learning for time series classification	3
Multiple-input neural networks for time series forecasting incorporating historical and prospective context	3