摘要
Web缓存技术是互联网提升访问性能的有效手段。构建了基于决策树的智能缓存数据挖掘模型,通过数据建模、NextAccess的离散化、构造决策树所用的观察属性集和权重,从而对数据进行缓存处理。实验证明其性能得到了优化。
Web cache performance of the Internet to enhance access to effective means, we construct the decision tree based data mining model of intelligent caching, through data modeling, NextAccess discretization of the observation used in constructing a decision tree and the weight set of attributes, so the data Caching. Experiments show that performance has been optimized.
出处
《微型机与应用》
2011年第6期11-13,共3页
Microcomputer & Its Applications
关键词
WEB缓存
决策树
替换算法
Web cache
Decision Tree
replacement algorithm
