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The Popularity of Movies Predict System based on Data Mining Technology for CDN

机译:基于数据挖掘技术的CDN电影预告系统的流行度

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In order to guide the strategy of distributing movies on the CDN system, this paper proposes a method which uses data mining techniques to predict the popularity of movies. The popularity of movies which is predicted is more suitable to the current CDN system. We compare the performance of the Bayesian Network and Decision Tree, and find that the Bayesian Network model is more suitable to CDN.
机译:为了指导在CDN系统上分发电影的策略,本文提出了一种使用数据挖掘技术预测电影受欢迎程度的方法。预测的电影的流行度更适合当前的CDN系统。我们比较了贝叶斯网络和决策树的性能,发现贝叶斯网络模型更适合CDN。

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