路标
发表于 2025-3-23 12:17:05
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Soliloquy
发表于 2025-3-23 15:19:50
SpringerBriefs in Statisticshttp://image.papertrans.cn/e/image/317407.jpg
愤世嫉俗者
发表于 2025-3-23 20:06:36
https://doi.org/10.1007/978-3-319-00783-0attendance, which has three research challenges, i.e., dataset collection, extraction of appropriate attributes, and identifying suitable learning methods. We first explain these challenges and then describe how to address them with a context-aware data mining approach. In this approach, three sets
翻布寻找
发表于 2025-3-24 00:13:27
Astrophysics and Space Science Librarytion, the initial discussion centers around this topic. Existing works on short-term mobility prediction and long-term mobility prediction are reviewed. Then, we survey related work on event-based social networks, with focuses on recommendation systems and event attendance prediction.
HEW
发表于 2025-3-24 05:54:42
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卵石
发表于 2025-3-24 06:58:53
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labile
发表于 2025-3-24 14:04:36
https://doi.org/10.1007/978-3-7091-0900-7e. This process is also referred to as supervised binary classification, considering that ‘attend or not’ is a binary classification. There are many supervised classifiers in the literature, and we adopt three classifiers, including logistic regression, decision tree and naïve Bayes. In this chapter
hemoglobin
发表于 2025-3-24 16:25:19
Group IV materials (mainly SiC),of the proposed solutions and evaluate how different parameters affect the performances. In this chapter, we first discuss the data selection, the experiment setting, and then present the evaluation results on the effectiveness of individual attributes and the performance of the three classifiers.
领导权
发表于 2025-3-24 22:49:20
https://doi.org/10.1007/0-306-46940-5ng approach to solve it. Experimental results based on the collected dataset demonstrated that the proposed approach can predict event attendance with high accuracy. Finally, we point out future research directions.
调整校对
发表于 2025-3-25 01:42:32
Astrophysics and Space Science Librarytion, the initial discussion centers around this topic. Existing works on short-term mobility prediction and long-term mobility prediction are reviewed. Then, we survey related work on event-based social networks, with focuses on recommendation systems and event attendance prediction.