Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts.
- DOI
- 10.3390/s22208063
- Published
- 2022 Oct 21
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s22208063,
title = {Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts.},
author = {Rehman SU and Alnazzawi N and Ashraf J and Iqbal J and Khan S},
year = {2022},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s22208063},
url = {https://doi.org/10.3390/s22208063}
}RIS
TY - JOUR TI - Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts. AU - Rehman SU AU - Alnazzawi N AU - Ashraf J AU - Iqbal J AU - Khan S PY - 2022 JO - Sensors (Basel, Switzerland) DO - 10.3390/s22208063 UR - https://doi.org/10.3390/s22208063 ER -
APA
SU, R., N, A., J, A., J, I., & S, K. (2022). Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22208063
Source records
- pubmed · retrieved 2026-09-25T00:55:28.312Z
- europe-pmc · retrieved 2026-09-25T00:55:28.325Z
- doaj · retrieved 2026-09-25T00:55:28.341Z