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A Method for Mobile Path Prediction Based on Data Mining

机译:一种基于数据挖掘的移动路径预测方法

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摘要

The paper points out problems in some existing themes,and puts forward a new method for predicting the mobile path based on pattern mining and matching, called PMM.The paper compares the performance of the PMM with Order-k Markov predictors using a trace of the mobility patterns of 1,200 users on real Wi-Fi wireless network.And the result shows that this method can achieve a relatively perfect predicting effect, performs better than Order-2 Markov predictor which has almost the best performance. Also an incremental mining is implemented based on this method and better performance is achieved.
机译:本文指出了一些现有主题中存在的问题,并提出了一种基于模式挖掘和匹配的移动路径预测新方法,称为PMM。结果表明,该方法可以达到较为理想的预测效果,性能比具有几乎最佳性能的2级马尔可夫预测器更好,并且在真实Wi-Fi无线网络上具有1,200个用户的移动模式。基于此方法还实现了增量挖掘,并获得了更好的性能。

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