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Titlebook: Business Intelligence; 6th International Co Mohamed Fakir,Mohamed Baslam,Rachid El Ayachi Conference proceedings 2021 Springer Nature Switz

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樓主: papyrus
41#
發(fā)表于 2025-3-28 15:44:16 | 只看該作者
42#
發(fā)表于 2025-3-28 20:36:16 | 只看該作者
https://doi.org/10.1007/978-3-319-15153-3 Health of the students of the Faculty of Sciences and Technologies at the Sultan Moulay Slimane university in Beni Mellal. We started by developing a script to retrieve posts made by students from a Facebook group. The choice of Facebook and not Twitter is due to the fact that the twitter community
43#
發(fā)表于 2025-3-28 23:53:30 | 只看該作者
44#
發(fā)表于 2025-3-29 04:43:07 | 只看該作者
Intermedial Strategies in Multimedia Artemented in a distributed environment using the Hadoop framework, with its programming framework MapReduce and its distributed file system HDFS. Its primary goal is to enhance the performance of a well-known ID3 classifier in terms of accuracy, execution time, and ability to handle massive datasets.
45#
發(fā)表于 2025-3-29 09:25:35 | 只看該作者
Media Boundaries and Conceptual Modellinghe studied algorithms are FCM, CURE, OPTICS, BANG, and EM respectively from each approach aforementioned. Assessing these algorithms based on the 4Vs big data criterions which are Volume, Variety, Velocity and Value shows some deficiency in some of them. All trained algorithms clusters well large da
46#
發(fā)表于 2025-3-29 11:26:59 | 只看該作者
Media Boundaries and Conceptual Modellingmaly is an observation that differs so much from other observations. The intrusion and anomaly arouse suspicion that a different mechanism generated them. The objective is to understand these mechanisms behind intrusions and anomalies. Based on this idea, we say that the analogy of intrusion detecti
47#
發(fā)表于 2025-3-29 16:31:17 | 只看該作者
48#
發(fā)表于 2025-3-29 21:46:59 | 只看該作者
49#
發(fā)表于 2025-3-30 00:00:56 | 只看該作者
https://doi.org/10.1007/978-3-319-99576-2n can be achieved by machine learning, it requires a set of approaches for vectorization and classification. In vectorization phase, this work proposes two approaches (BOW and TF-IDF), but in the classification phase, the algorithms of machine learning used are: RL, SVM and ANN. At the end, a comparison study is given.
50#
發(fā)表于 2025-3-30 06:57:29 | 只看該作者
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