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BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model.

, , , , , и . Mob. Networks Appl., 25 (3): 1151-1161 (2020)

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ContextPCA: Predicting Context-Aware Smartphone Apps Usage Based On Machine Learning Techniques., , и . Symmetry, 12 (4): 499 (2020)Context-aware rule learning from smartphone data: survey, challenges and future directions.. J. Big Data, (2019)BEmoC: A Corpus for Identifying Emotion in Bengali Texts., , , , и . SN Comput. Sci., 3 (2): 135 (2022)Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks., , , , , и . IEEE Access, (2021)Research issues in mining user behavioral rules for context-aware intelligent mobile applications.. Iran J. Comput. Sci., 2 (1): 41-51 (2019)Mobile Expert System: Exploring Context-Aware Machine Learning Rules for Personalized Decision-Making in Mobile Applications., , , и . Symmetry, 13 (10): 1975 (2021)RecencyMiner: mining recency-based personalized behavior from contextual smartphone data., , и . J. Big Data, (2019)BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model., , , , , и . Mob. Networks Appl., 25 (3): 1151-1161 (2020)A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic., , , , , и . IEEE Trans. Artif. Intell., 1 (3): 258-270 (2020)A Stacked Ensemble Spyware Detection Model Using Hyper-Parameter Tuned Tree Based Classifiers., , и . MIET (2), том 491 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 397-408. Springer, (2022)