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Sentiment Analysis Based on MapReduce: A survey., , и . IAIT, стр. 11:1-11:8. ACM, (2018)Hybrid Technique for Arrival Rate Extraction and Size Reduction using Singular Spectrum Analysis and Fourier Series., , и . EUSPN/ICTH, том 141 из Procedia Computer Science, стр. 96-103. Elsevier, (2018)DPV: a taxonomy for utilizing deep learning as a prediction technique for various types of cancers detection., , , , и . Multim. Tools Appl., 80 (14): 21339-21361 (2021)Accurate detection of network anomalies within SNMP-MIB data set using deep learning., , , и . Int. J. Comput. Appl. Technol., 66 (1): 74-85 (2021)Default prediction model: the significant role of data engineering in the quality of outcomes., , , и . Int. Arab J. Inf. Technol., 17 (4A): 635-644 (2020)Optimization of scientific publications clustering with ensemble approach for topic extraction., , , , и . Scientometrics, 128 (5): 2819-2877 (мая 2023)Density-based Algorithms for Big Data Clustering Using MapReduce Framework, и . ACM Computing Surveys, 53 (5): 1--38 (октября 2020)The Effects of Natural Language Processing on Big Data Analysis: Sentiment Analysis Case Study., , и . ACIT, стр. 1-7. IEEE, (2018)MR-VDENCLUE: Varying Density Clustering Using MapReduce., , , , и . IntelliSys (1), том 542 из Lecture Notes in Networks and Systems, стр. 771-788. Springer, (2022)VDENCLUE: An Enhanced Variant of DENCLUE Algorithm., и . IntelliSys (2), том 1251 из Advances in Intelligent Systems and Computing, стр. 425-436. Springer, (2020)