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模糊加权Markov链的用户行为预测 被引量：6

Forecasting of user behavior based on fuzzy weighted Markov chain
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摘要 提出了基于模糊加权Markov链模型,通过分析用户行为特征和最优状态分类的方法,预测网络用户行为,并验证了此模型的可行性和实用性. A model based on fuzz weighted Markov chain was presented, which can be used to predict the behavior of network user by analyzing the user behavior state and the classification of optimal state. In addition, its feasibility and practicality have been validated.
作者 党小超 郝占军 王筱娟
机构地区 西北师范大学网络教育学院 西北师范大学数学与信息科学学院 西京学院工程技术系
出处 《兰州大学学报（自然科学版）》 CAS CSCD 北大核心 2011年第1期110-115,共6页 Journal of Lanzhou University(Natural Sciences)
基金 甘肃省科技支撑计划项目(090GKCA075)
关键词 MARKOV链模型 用户行为 网络流量 预测模型 Markov chain model user behavior network traffic prediction model
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献9

二级参考文献33

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共引文献64

同被引文献59

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引证文献6

二级引证文献34

兰州大学学报（自然科学版）
2011年 第1期

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