Data Mining and Knowledge Discovery

0 papers in the last 7 days · category: AI · publisher: Springer Science+Business Media · ISSN 1384-5810

Key findings#

Data Mining and Knowledge Discovery published 8 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #91 of 239 journals.
Leading institutions: Seoul National University (1), Mathematical Sciences Research Institute (1) and Fujian Business University (1).
Countries: China (3), South Korea (1) and United States (1).
From Oct 2023 to Sep 2026, Data Mining and Knowledge Discovery published 298 papers (8 a month on average, by publication date in OpenAlex).
Its most frequent keywords over that period were “explainable AI” (17), “time series classification” (17) and “graph neural networks” (15).
Its most-cited paper of the period is “Detecting anomalies using rotated isolation forest” (2025-03-28), with 19 citations.

The last 36 months#

Oct 23Sep 26

Papers by publication date, Oct 2023 to Sep 2026
Oct 23–Sep 24	Oct 24–Sep 25	Oct 25–Sep 26	36 months
98	87	113	298

Most frequent keywords, Oct 2023 to Sep 2026
#	Keyword	Papers
1	explainable AI	17
2	time series classification	17
3	graph neural networks	15
4	concept drift	11
5	scalability	10
6	anomaly detection	9
7	high-dimensional data	9
8	interpretability	9
9	knowledge graph completion	9
10	model interpretability	9

Most-cited papers published Oct 2023 to Sep 2026
#	Citations	Per month	Title	Journal	Published	Authors
1	19	1.0	Detecting anomalies using rotated isolation forest	Data Mining and Knowledge Discovery	2025-03-28	Vahideh Monemizadeh, Kourosh Kiani
2	18	2.0	Guardnet: an imbalance-aware graph neural network for fraud detection	Data Mining and Knowledge Discovery	2026-01-23	Yuhao Chen, Fanwei Zhu, Zengwei Zheng et al.
3	9	0.6	Guiding the generation of counterfactual explanations through temporal background knowledge for predictive process monitoring	Data Mining and Knowledge Discovery	2025-08-06	Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini et al.
4	9	0.6	Stratify: unifying multi-step forecasting strategies	Data Mining and Knowledge Discovery	2025-08-06	Riku Green, Grant Stevens, Zahraa S. Abdallah et al.
5	7	0.4	Recommending the right academic programs: an interest mining approach using BERTopic	Data Mining and Knowledge Discovery	2025-03-13	Alessandro Hill, Kalen Goo, Puneet Agarwal

Papers, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-13	NoDE: noise-decorrelation embedding for robust long-term multivariate time series forecasting	Data Mining and Knowledge Discovery	Minhyuk Lee, Hyekyung Yoon, Imseong Park et al.	Seoul National University; Mathematical Sciences Research Institute
2026-10-12	Feature selection for partial multi-label learning via noise removal and dynamic label correlation	Data Mining and Knowledge Discovery	Zhenzhen Sun, Shuhao Shan, Jinghua Liu et al.	Huaqiao University; Jimei University; Minjiang University; …
2026-10-10	Critical node identification through triplet node influence in complex networks	Data Mining and Knowledge Discovery	Chommaphat Malang, Aniwat Phaphuangwittayakul	Chiang Mai University
2026-10-08	A novel graph-based patient embedding method for the diagnosis of Alzheimer’s disease from microRNA expression data	Data Mining and Knowledge Discovery	Veronica Buttaro, Antonio Pellicani, Gianvito Pio et al.	University of Bari Aldo Moro; Consorzio Interuniversitario Nazionale per l'Informatica; National Research Council; …
2026-10-05	IGA: isomorphism-aware graph alignment for robust unsupervised anchor link prediction	Data Mining and Knowledge Discovery	Qiming Yang, Wei Wei, Ruizhi Zhang et al.	Beihang University; Hengshui University; State Key Laboratory of Software Development Environment; …
2026-10-03	Evolution of sentiment analysis toward aspect-based sentiment analysis: a scientometric analysis of research trends, knowledge structures, and emerging technologies (2015–2025)	Data Mining and Knowledge Discovery	Neha Goyal, Rajiv Bansal	Maharishi Markandeshwar University, Mullana
2026-10-03	Sparse oblique rule boosting for simpler additive rule ensembles	Data Mining and Knowledge Discovery	Shahrzad Behzadimanesh, Pierre Le Bodic, Geoffrey I. Webb et al.	Monash University; University of Haifa
2026-09-27	One-step tensor low-frequency learning for incomplete multi-view clustering	Data Mining and Knowledge Discovery	Lisha Zhao, Hongwei Ge, Su Shuzhi	Jiangnan University; Anhui University of Science and Technology

Cite this page

Scholar4AI. (2026). Data Mining and Knowledge Discovery. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/data-mining-and-knowledge-discovery

@misc{scholar4ai-journals-data-mining-and-knowledge-discovery,
  author = {{Scholar4AI}},
  title = {Data Mining and Knowledge Discovery},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/data-mining-and-knowledge-discovery}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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