Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts.

Rehman SU, Alnazzawi N, Ashraf J, Iqbal J, Khan S

Open source

DOI
10.3390/s22208063
Published
2022 Oct 21
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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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

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