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会话文件
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  session file
     The PCL language combined with the session file of MSC.
     应用PCL语言结合会话文件对MSC .
短句来源
     The PCL language combined with the session file of MSC.
     应用PCL语言结合会话文件对MSC.
短句来源
     3. Based on User Session File, which is the result of the preprocessing phase of Web Log Mining, this paper presents a Web Log Mining method for the recognition of user's browse patterns under the Extended Oriented-Tree model. Further more, the method is implemented basically in our lab and tested using real Web log data.
     3. 从Web日志挖掘过程预处理阶段的结果用户会话文件开始,提出了一种基于扩展有向树模型进行用户浏览模式识别的Web日本挖掘方法,并在实验室对该方法进行了简单实现和实际日志数据的测试。
短句来源
     Based on User Session File, which is the result of the preprocessing phase of Web Log Mining, this paper presents a Web Log Mining method for the recognition of user's browse patterns under the Extended Oriented Tree model. Further more, the method is implemented basically in our lab and tested using real web log data.
     本文从 Web日志挖掘过程预处理阶段的结果用户会话文件开始 ,提出了一种基于扩展有向树模型进行用户浏览模式识别的 Web日志挖掘方法 ,并在实验室对该方法进行了简单实现和实际日志数据的测试 .
短句来源
     First,this paper analyzes the deficiency of existing path analysis techniques,Second,it presents a method to mine Web access pattern based on the topology of a Web site(graph struc-ture)on the user session file,the result of preprocessing phase for the Web access pattern mining,which improves the precision of patterns and mining efficiency. Finally,the method is realized simply and tested with real Web logs.
     文章首先分析了现有路径分析技术的不足,然后从Web用户访问模式挖掘过程预处理的结果用户会话文件开始,提出了一种基于Web拓扑结构(图结构)挖掘用户访问模式的方法,提高了发现模式的精确性和效率,并在实验室对该方法进行了简单实现和实际日志数据的测试。
短句来源
  “会话文件”译为未确定词的双语例句
     1. Because of multi-frame can reduce the interestingness of web log mining results ,the thesis put forward a refined Web log preprocessing technology called frame-filtering. Our experiments show that by filerating subframe page requests that are not directly generated by user clicks, the frame-filteming algorithm can improve the interestingness of web log mining results.
     1.针对多页面结构的站点会降低挖掘结果的兴趣性,本文提出了Web日志数据预处理的改进算法-Frame页面过滤算法,实验结果表明,通过过滤用户会话文件中非用户点击产生的subframe页面请求,可以提高日志挖掘结果的兴趣性。
短句来源
     The data preparation pro duces user session files which are then mined using the frequent generalized sub sequences algorithm for browsing patterns.
     经过对日志文件的预处理,得到用户会话文件,然后采用广义频繁子序列挖掘算法对用户浏览模式进行识别。
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  相似匹配句对
     Conversation in Clinies
     英语会话
短句来源
     Conversation in Clinics Ⅰ Medicinc
     英语会话
短句来源
     The PCL language combined with the session file of MSC.
     应用PCL语言结合会话文件对MSC.
短句来源
     The PCL language combined with the session file of MSC.
     应用PCL语言结合会话文件对MSC .
短句来源
     ASM file (source file) which can be relocated.
     ASM文件
短句来源
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  session file
A null name for an axis could not be applied from a session file.
      
A session file is always being saved to aid in recovery from a mistake or a program crash.
      
Every time a session is started, a session file is created to store variables such as the user's PID or what action they're performing.
      
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This paper introduces a wide area network based on DECnet-VAX computer. It may be called a compositive informatim system. The system consists of linking NEC ACOS and other hetcrogeneous computers into the system, text processing, point to point real-time conversation between terminals, file transportation. the emulation of NEC PC-9801 as a host's terminal and so on. This paper describes the main functions and implementation techniques.

本文介绍一个以DECnet——VAX计算机为主干的远程网络.开发研制内容包括NEC ACOS和其他异种机入网、文电处理、点对点终端实时会话、文件传送、NEC PC-9801微机终端仿真等功能的综合信息系统.讨论了它的主要功能和实现技术.

Web Log Mining is the application of Data Mining technology on web server log files. Based on User Session File, which is the result of the preprocessing phase of Web Log Mining, this paper presents a Web Log Mining method for the recognition of user's browse patterns under the Extended Oriented Tree model. Further more, the method is implemented basically in our lab and tested using real web log data.

Web日志挖掘的基本思想是将数据挖掘技术应用于 Web服务器的日志文件 .本文从 Web日志挖掘过程预处理阶段的结果用户会话文件开始 ,提出了一种基于扩展有向树模型进行用户浏览模式识别的 Web日志挖掘方法 ,并在实验室对该方法进行了简单实现和实际日志数据的测试 .

Web activity can be person al ized by analyzing user browsing behavior. This analysis can be used to improve t he performance of science platform. This paper introduces a method for providing active information services for science platform users by using Web log mining based on a frequent generalized subsequences algorithm. The data preparation pro duces user session files which are then mined using the frequent generalized sub sequences algorithm for browsing patterns. An example illustrates how this metho...

Web activity can be person al ized by analyzing user browsing behavior. This analysis can be used to improve t he performance of science platform. This paper introduces a method for providing active information services for science platform users by using Web log mining based on a frequent generalized subsequences algorithm. The data preparation pro duces user session files which are then mined using the frequent generalized sub sequences algorithm for browsing patterns. An example illustrates how this metho d of finding user navigation paths provides better online service for the users.

为了分析网络用户的浏览行为特征,实现科学平台的网络个性化服务,用广义频繁子序列挖掘算法,该算法挖掘Web服务器日志中的用户浏览路径,设计科学平台用户的浏览模式,为用户提供主动式信息服务。经过对日志文件的预处理,得到用户会话文件,然后采用广义频繁子序列挖掘算法对用户浏览模式进行识别。实际应用表明,这种广义频繁子序列识别方法能够有效地发现用户的兴趣所在,从而更好地为用户在线浏览提供帮助。

 
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