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首页> 外文期刊>American journal of applied sciences >Mining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic Thresholds | Science Publications
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Mining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic Thresholds | Science Publications

机译:持续时间和语言阈值的模糊加权浏览模式挖掘科学出版物

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摘要

> World-wide-web applications have grown very rapidly and have made a significant impact on computer systems. Among them, web browsing for useful information may be most commonly seen. Due to its tremendous amounts of use, efficient and effective web retrieval has become a very important research topic in this field. Techniques of web mining have thus been requested and developed to achieve this purpose. In this research, a new fuzzy weighted web-mining algorithm is proposed, which can process web-server logs to discover useful users
机译: >万维网应用程序发展非常迅速,并对计算机系统产生了重大影响。其中,最有用的方法是在网络上浏览有用的信息。由于其大量使用,有效和有效的Web检索已成为该领域中非常重要的研究主题。因此,已经要求并开发了网络挖掘技术来实现此目的。在这项研究中,提出了一种新的模糊加权网络挖掘算法,该算法可以处理网络服务器日志以发现有用的用户

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