计算机应用与软件2017，Vol.34Issue(6)：31-36,129,7.DOI:10.3969/j.issn.1000-386x.2017.06.007
基于统计学的Web论坛增量更新策略研究
RESEARCH ON INCREMENTAL UPDATING STRATEGY OF WEB FORUM BASED ON STATISTICS
摘要
Abstract
The traditional model of forecasting page changes applies a rule to all pages, without regard to the differences between pages.In this paper, we propose an incremental updating strategy model based on statistical rules for indexing web pages.Through the data collection and observation of the index page of the relevant forum, it is found that the index page shows a regular change in the daily cycle, and the curve of variation within a day coincides with the law of people`s life.The mathematical model is established by using the least square polynomial curve fitting, and it is applied to incremental updating of the index page, which can predict the time interval of the next updating of the index page.The experimental results show that the accuracy of the model is 93.9% within the 10% error range.关键词
增量更新/网页变化/统计学/数学建模Key words
Incremental updating/Page changes Statistics/Mathematic modeling分类
信息技术与安全科学引用本文复制引用
冯凯,陈军,王鹃,王勇..基于统计学的Web论坛增量更新策略研究[J].计算机应用与软件,2017,34(6):31-36,129,7.基金项目
国家自然科学基金项目(61402342). （61402342）
