Data Mining and Knowledge Discovery

Papers
(The H4-Index of Data Mining and Knowledge Discovery is 25. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora228
Knowledge graph completion based on asymmetric translation and automatic entity type representation191
A probabilistic model for API contract specification retrieval focusing on the openAPI standard188
Structural-temporal coupling anomaly detection with dynamic graph transformer180
Counterfactual explanations as interventions in latent space153
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)133
Discord-based counterfactual explanations for time series classification90
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration73
Representing ensembles of networks for fuzzy cluster analysis: a case study69
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions68
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring65
The grammar of interactive explanatory model analysis62
Exploring zero-shot essay scoring: from feature-based to LLM-based approaches54
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification46
Quantitative evaluation of motif sets in time series45
Correction: Marginal effects for non-linear prediction functions42
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment34
VEM$$^2$$L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion32
Hydra: competing convolutional kernels for fast and accurate time series classification32
MMA: metadata supported multi-variate attention for onset detection and prediction31
Leveraging internal representations of GNNs with Shapley values29
Fitter: post-mining user-preferred co-location patterns interactively28
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks27
Wisdom of the contexts: active ensemble learning for contextual anomaly detection27
Neural content-aware collaborative filtering for cold-start music recommendation25
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