--- title: "Data Mining and Knowledge Discovery: recent papers" description: "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." url: https://scholar4ai.com/journals/data-mining-and-knowledge-discovery markdown_url: https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "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." data_url: https://scholar4ai.com/data/rankings.json updated: 2026-10-26T14:52:47+09:00 window: 2026-09-27 to 2026-10-26 source: OpenAlex (CC0) --- # Data Mining and Knowledge Discovery - 0 papers in the last 7 days - category: AI - publisher: Springer Science+Business Media - ISSN 1384-5810 Back to the ranking: https://scholar4ai.com/rankings/journals.md ## 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: Mathematical Sciences Research Institute (1), Seoul National University (1) and Fuzhou 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 *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](https://scholar4ai.com/keywords/explainable-ai.md) | 17 | | 2 | time series classification | 17 | | 3 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 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](https://doi.org/10.1007/s10618-025-01096-5) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 2025-03-28 | Vahideh Monemizadeh, Kourosh Kiani | | 2 | 18 | 2.0 | [Guardnet: an imbalance-aware graph neural network for fraud detection](https://doi.org/10.1007/s10618-025-01181-9) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-025-01117-3) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 2025-08-06 | Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini et al. | | 4 | 9 | 0.6 | [Stratify: unifying multi-step forecasting strategies](https://doi.org/10.1007/s10618-025-01135-1) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-024-01087-y) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-026-01281-0) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-026-01279-8) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-026-01285-w) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-026-01275-y) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-026-01277-w) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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)](https://doi.org/10.1007/s10618-026-01273-0) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Neha Goyal, Rajiv Bansal | Maharishi Markandeshwar University, Mullana | | 2026-10-03 | [Sparse oblique rule boosting for simpler additive rule ensembles](https://doi.org/10.1007/s10618-026-01241-8) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10618-026-01263-2) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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 ```bibtex @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} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).