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Springer International Publishing
Reference39 articles.
1. Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of 20th International Conference Very Large Data Bases, VLDB. vol. 1215, pp. 487–499 (1994)
2. Al-zanbouri, Z., Ding, C.: Data-aware web service recommender system for energy-efficient data mining services. In: 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA). pp. 57–64 (2018) https://doi.org/10.1109/SOCA.2018.00015
3. Alhamid, M.F., Rawashdeh, M., Al Osman, H., El Saddik, A.: Leveraging biosignal and collaborative filtering for context-aware recommendation. In: Proceedings of the 1st ACM International Workshop on Multimedia Indexing and Information Retrieval For Healthcare. pp. 41–48. ACM (2013)
4. Alsalemi, A., et al.: Endorsing domestic energy saving behavior using micro-moment classification. Appl. Energ. 250, 1302–1311 (2019)
5. Alsalemi, A., Sardianos, C., Bensaali, F., Varlamis, I., Amira, A., Dimitrakopoulos, G.: The role of micro-moments: A survey of habitual behavior change and recommender systems for energy saving. IEEE Syst. J. 13(3), 3376–3387 (2019)
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