| 基于聚类克隆技术的Markov预测算法的改进 |
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| 引用本文： | 郑舒琳,白清源.基于聚类克隆技术的Markov预测算法的改进[J].郑州轻工业学院学报(自然科学版),2011(4):72-75. |
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| 作者姓名： | 郑舒琳 白清源 |
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| 作者单位： | 福州大学数学与计算机科学学院; |
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| 摘 要： | 为解决传统一阶Markov模型算法的预测准确率较低问题,改进算法在动态的基于聚类克隆的Markov模型算法的基础上,通过限制克隆条件实现对状态的过滤,减少了需克隆的状态数,减小了计算量,从而提高了运算速度.实验表明,这种策略能有效地提高Markov模型在网页预测中的效率.
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| 关 键 词： | Markov模型 聚类克隆技术 网页预测 |
Improvement of Markov predicting algorithm based on clustering cloning technology |
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| ZHENG Shu-lin,BAI Qing-yuan.Improvement of Markov predicting algorithm based on clustering cloning technology[J].Journal of Zhengzhou Institute of Light Industry(Natural Science),2011(4):72-75. |
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| Authors: | ZHENG Shu-lin BAI Qing-yuan |
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| Affiliation: | ZHENG Shu-lin,BAI Qing-yuan(School of Mathe.and Comp.Sci.,Fuzhou Univ.,Fuzhou 350108,China) |
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| Abstract: | The accuracy of the first-order Markov model is a little lower.In order to solve this problem,the improved algorithm can filter the states by constraining the cloning condition which bases on clustering and cloning dynamic Markov model algorithm,and cut down the amount of cloned states,also lead to less calculation,therefore the operation speed will be boosted.And the experiment result showed that algorithm was effective to improve the efficiency of Markov model that was used in web predicting. |
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| Keywords: | Markov model clustering clone technology Web prediction |
| 本文献已被 CNKI 等数据库收录！ |
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