Incremental high average-utility itemset mining: survey and challenges

Jing Chen, Shengyi Yang, Weiping Ding, Peng Li, Aijun Liu, Hongjun Zhang, Tian Li

Open source

DOI: 10.1038/s41598-024-60279-0
Published: 2024-04-30
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-60279-0,
  title = {Incremental high average-utility itemset mining: survey and challenges},
  author = {Jing Chen and Shengyi Yang and Weiping Ding and Peng Li and Aijun Liu and Hongjun Zhang and Tian Li},
  year = {2024},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-024-60279-0},
  url = {https://doi.org/10.1038/s41598-024-60279-0}
}

RIS

TY  - JOUR
TI  - Incremental high average-utility itemset mining: survey and challenges
AU  - Jing Chen
AU  - Shengyi Yang
AU  - Weiping Ding
AU  - Peng Li
AU  - Aijun Liu
AU  - Hongjun Zhang
AU  - Tian Li
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-60279-0
UR  - https://doi.org/10.1038/s41598-024-60279-0
ER  -

APA

Chen, J., Yang, S., Ding, W., Li, P., Liu, A., Zhang, H., & Li, T. (2024). Incremental high average-utility itemset mining: survey and challenges. Scientific Reports. https://doi.org/10.1038/s41598-024-60279-0

Source records

crossref · retrieved 2026-09-25T16:17:19.189Z