基于Web-log頻繁瀏覽路徑挖掘技術(shù)分析與實現(xiàn)
發(fā)布時間:2018-02-16 21:27
本文關(guān)鍵詞: Web日志 瀏覽興趣度 Web瀏覽樹 頻繁瀏覽路徑 數(shù)據(jù)挖掘 出處:《電子科技大學(xué)》2014年碩士論文 論文類型:學(xué)位論文
【摘要】:在Web站點的日志數(shù)據(jù)上記錄了用戶對Web站點進行訪問時大量的信息,利用了Web網(wǎng)站的日志,節(jié)能型研究頻繁的瀏覽器的工作路徑,在目前為止已成為了Web網(wǎng)站的日志可挖掘的最熱門的課題之一。頻繁的瀏覽器的路徑的挖掘是對Web站點進行挖掘時的一個很重要的研究領(lǐng)域,對商業(yè)領(lǐng)域的決策、對改善相關(guān)網(wǎng)站的建設(shè)等,都是對web有著很現(xiàn)實的具有指導(dǎo)性的重要意義。本次設(shè)計論文結(jié)合了國內(nèi)某個著名的網(wǎng)站,通過對其服務(wù)器的用戶網(wǎng)絡(luò)日志的進行探討研究,并且對頻繁路徑算法進行分析和比較。本次的論文從理論上大膽的提出了一種新的頻繁瀏覽路徑的方法,即對于Web日志挖掘的用戶,則興趣度是通過算術(shù)法進行求解,并且基本元素通過對瀏覽的興趣度,根據(jù)瀏覽樹作為測試算法。即可實現(xiàn)數(shù)據(jù)結(jié)構(gòu)的數(shù)據(jù)挖掘。講述了實現(xiàn)過程是頻繁路徑的測試算法運行得來的。應(yīng)用頻繁瀏覽路徑的算法可以讓網(wǎng)站能夠調(diào)整結(jié)構(gòu),以便于更好地與分析消費者的需求,使網(wǎng)站導(dǎo)航或其他版塊以及重組網(wǎng)站的結(jié)構(gòu)提供了強大的可行性的方案。論文通過測試算法運用,不僅僅在求解頁面的瀏覽的興趣度的方法上進行了具有創(chuàng)新性的改進,并且大大的提高了其路徑精準(zhǔn)度和合理實施性。經(jīng)過實驗得出證明,使測試算法的結(jié)果具有真實性和全面性。同時在經(jīng)過了實際的應(yīng)用后,也收到了良好的效果。
[Abstract]:A lot of information is recorded on the log data of the Web site when the user visits the Web site, and the log of the Web site is used to study the work path of the browser with frequent energy saving research. Up to now, it has become one of the most popular topics for Web Web sites to mine logs. Mining the paths of frequent browsers is a very important research area for mining Web sites. To improve the construction of related websites, all of them are of practical and instructive significance to web. This design paper combines some famous websites in our country and discusses the user log of its server. In this paper, a new method of frequent browsing path is proposed, that is, for the users of Web log mining, the interest degree is solved by arithmetic method. And the basic elements are based on the degree of interest in browsing, According to the browsing tree as the test algorithm, we can realize the data mining of the data structure. The realization process is run by the test algorithm of frequent path. The algorithm of frequent browsing path can make the website adjust its structure. In order to facilitate better analysis of consumer needs, so that the site navigation or other sections and reorganization of the structure of the site to provide a strong feasibility of the solution. Not only has the method of calculating the interest of page browsing been innovatively improved, but also its path accuracy and reasonable implementation have been greatly improved. The result of the test algorithm is authentic and comprehensive, and it also has good effect after practical application.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP311.13;TP393.092
【參考文獻】
相關(guān)期刊論文 前1條
1 王繼成,潘金貴,張福炎;Web文本挖掘技術(shù)研究[J];計算機研究與發(fā)展;2000年05期
,本文編號:1516471
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