An Adaptive Parameter DBSCAN Clustering and Reputation-Aware QoS Prediction Method
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2385-4_8
Reference11 articles.
1. Zhang, Y., Wang, K., He, Q., et al.: Covering-based web service quality prediction via neighborhood-aware matrix factorization. IEEE Trans. Serv. Comput. 14, 1333–1344 (2019)
2. Wu, D., He, Q., Luo, X., et al.: A posterior-neighborhood-regularized latent factor model for highly accurate web service QoS prediction. IEEE Trans. Serv. Comput. 15, 793–805 (2019)
3. Xu, S., Zhang, C., Zhang, J.: Adaptive quantile low-rank matrix factorization. Pattern Recogn. 103, 107310 (2020)
4. Nilashi, M., Bagherifard, K., Rahmani, M., et al.: A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques. Comput. Ind. Eng. 109, 357–368 (2017)
5. Vaswani, N., Narayanamurthy, P.: Static and dynamic robust PCA and matrix completion: a review. Proc. IEEE 106(8), 1359–1379 (2018)
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