An Efficient Approach for Query Processing of Incomplete High Dimensional Data Streams
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-69717-4_57
Reference17 articles.
1. Najib, F.M., Ismail, R.M., Badr, N.L., Gharib, T.: Clustering based approach for incomplete data streams processing. J. Intell. Fuzzy Syst. 38(3), 3213–3227 (2020)
2. Najib, F.M., Ismail, R.M., Badr, N.L., Tolba, M.F.: Multiple queries optimization for data streams on cloud computing. In: Tenth International Conference on Computer Engineering & Systems (ICCES), pp. 28–33. IEEE (2015)
3. Liu, Y., Li, X., Chen, X., Wang, X., Li, H.: High-performance machine learning for large-scale data classification considering class imbalance. Sci. Program. (2020)
4. Najib, F.M., Ismail, R.M., Badr, N.L., Tolba, M.F.: Cloud-based data streams optimization. WIREs Data Min. Knowl. Discov. 8(3), e1247 (2018)
5. Datta, S., Bhattacharjee, S., Das, S.: Clustering with missing features: a penalized dissimilarity measure based approach. Mach. Learn. 107(12), 1987–2025 (2018)
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