Data Analytics for Parking Facility Management-Reference-Cited by-同舟云学术

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Data Analytics for Parking Facility Management

Published:2022 Issue: Volume: Page:117-129
ISSN:2367-3370
Container-title:Advances in Intelligent Networking and Collaborative Systems
language:
Short-container-title:

Author:

Deng Deyu,Leung Carson K.^ORCID,Pazdor Adam G. M.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-14627-5_12

Reference44 articles.

1. Alam, M.T., et al.: UGMINE: utility-based graph mining. Appl. Intell. (2022). https://doi.org/10.1007/s10489-022-03385-8

2. Cabusas, R.M., et al.: Mining for fake news. In: Barolli, L., Hussain, F., Enokido, T. (eds.) AINA 2022, Part II. LNNS, vol. 450, pp. 154–166. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-99587-4_14

3. Chowdhury, M.E.S., et al.: A new approach for mining correlated frequent subgraphs. ACM Trans. Manage. Inf. Syst. 13(1), 9:1–9:28 (2022)

4. Ishita, S.Z., et al.: New approaches for mining regular high utility sequential patterns. Appl. Intell. 52, 3781–3806 (2022)

5. Jiang, F., et al.: Big social data mining in a cloud computing environment. In: ICCBB 2018, pp. 58–65 (2018)

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2. Mining Big Healthcare Data to Predict Long COVID Cases;2023 IEEE International Conference on Industrial Technology (ICIT);2023-04-04

3. Dynamic Pricing for Parking Facility;Advances in Intelligent Networking and Collaborative Systems;2023

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