用户行为

一种面向用户行为的Web聚类模型

A Clustering Model Based on Web Mining for User Behavior

基于Web使用挖掘的用户行为分析

The Analysis of User Behavior Based on Web Usage Mining

Web用户行为预测的一种新模型及算法

New model and related algorithm for the prediction of web user 's directions

基于神经网络的Web用户行为聚类分析

Neural network based web user behavior cluster analysis

面向Web应用的用户行为审计系统

Web-Oriented Applications of User Behavior Audit System

一种Web用户行为聚类算法

Web User Action Clustering Algorithm

一种基于用户行为的Self集构造和演化方法

A Constructional and Evolutionary Method of Self set Based on User 's Behavior

为解决代理服务器端用户行为日志的高维特征，提出一种基于超图模型的Web会话聚类方法。

This paper presents a method to find user 's behavioral patterns based on clustering web sessions using hypergraph .

Web使用挖掘是将数据挖掘技术应用于Web日志数据，从而发现用户行为模式的过程；

Web usage mining is the process of applying data mining technique to the discovery of user behavior patterns based on Web log data .

研究了网络用户行为的特点及其分类，学习了用户行为分析中常用的Web挖掘技术及网络爬虫技术等。

Study the characteristics of network user behavior and classification , learning the user behavior analysis commonly used in Web Mining and Web crawler technology .

基于改进后的K-means聚类算法的网吧用户行为聚类

Clustering User Behavior of Internet Cafes Based on Improved K-means Clustering Algorithm

MPLSVPN用户行为挖掘系统，就是为了满足和解决上述问题而进行开发的一套系统。

MPLS VPN user behavior mining system is to meet and resolve these issues for the development of a system .

本文介绍了一个分布式日志审计系统的设计和实现，该系统基于Client／Server的体系结构，实现了开放环境中用户行为的无否认审计。

This paper introduces the design and realization of a distributive log audit system . Based on Client / Server structure , the system realized no-deny audit to user behavior in open environment .

在研究网络用户行为特点的基础上提出了基于Web的局域网行为管理模型，并根据该模型进行了管理系统的设计和实现。

A Web-based management system model for LAN behavior is proposed on the basis of the study and analysis of the characteristic of LAN user 's behavior . According the model a management system is designed and implemented .

最后，本文分析了SNS用户行为分析的进一步研究工作和可能的创新点。

Finally , the paper analyzes the further research and possible innovation points of the SNS user behavior analysis .

随着Internet的快速发展，传输速率的成倍提高，以及网络应用业务的不断增多，网络的拓扑结构和用户行为越来越复杂，网络流量采集器面临着很大的挑战。

With the rapid develoment of Internet , the incessant increment of network flows and the quick growth of application services , which make network topology and user behaviors more and more complicated , network traffic collector is faced with the challenge .

其中大多数服务都是以RESTAPI的形式提供，应用创建后通过用户行为与多样化的服务相互作用，可以产生更多超越服务本身功能的体验。

Many of these services expose a REST API so that applications can be created that interact with that information on behalf of their users in ways that go well beyond that service 's core functionality .

SNS用户行为分析能力分为基础能力层次（内容分析模块、时间分析模块、关系分析模块）和高级能力层次。

SNS user behavioral analysis capability has basic capability ( content analysis module , time analysis module , and relationship analysis module ) and advanced capability .

jMaki同样支持使用编程的方式在Widget或扩展组件上，或者响应用户行为进行事件处理。

We have glue to allow for a programatic way of handling events on widgets , extensions , or user behavior .

采用Telnet会话纪录中的shell命令作为用户行为异常检测的数据源，用FPGrowth算法进行规则的挖掘，形成历史行为模式和当前行为模式并进行比较以实现异常检测。

Data resource is coming from the shell command in Telnet session record . Data resource is mined by FP_Growth algorithm to build the user 's history activity model and current activity model , which is compared to achieve anomaly detection .

通过分析上海电信VOD系统的现网环境和用户行为特性，设计实现了一个支持本地化的混合架构VOD系统，并提出了一种基于热门度的缓存算法。

We analyzed the network environment and user behavior characters of Shanghai Telecom VOD system . According to the characters , we designed a local-aware hybrid architecture VOD system and a cache policy based on popularity .

接着在上述基础上提出几种常用的网络用户行为分析系统模型或其思想，主要列举了网络用户行为分析在Web点击流分析、计算机与网络安全方面以及Intranet网内用户结构分析中的应用。

Then putting forward several kinds of common application modes or thought of network users ' behavior analysis , including network click flow analysis , computer and network security analysis and user structure analysis of Intranet . The key algorithm of behavior analysis system has been discussed and improved .

具体而言，本文主要研究成果如下：建立流媒体分发系统的用户行为模型，并基于该模型推导出C/S、P2P和混合分发策略下系统中用户平均时延的解析表达式。

In detail , the main research achievements of this thesis are as follows : Establishing the user behavior model of multimedia distribution system , and proposing the analytical expressions of average delay of users in C / S , P2P and hybrid distribution system respectively .

该平台描述了VOD系统用户行为的一般数学模型，刻划了典型用户进入系统行为分布、节目选择分布和VCR操作分布，设计了用户行为仿真平台结构，并完成了该平台。

A general mathematics model for user actions in VOD system is built to present the distribution of user visiting action , distribution of program selection and distribution of VCR functions . The platform is structural designed and implemented .

然后讨论了系统的总体结构和应用上述技术原理实现各个模块的细节，包括如何实现用户行为分析，以及如何实现检测分析DDoS和蠕虫病毒等网络异常；

In the third part , we described the architecture of the system and the details of all the modules , including how to implement user behavior analysis , and how to implement network abnormal traffic such as DDoS and worm attack monitoring .

根据这一重点分析虚拟现实用户行为的报告指出，在过去一年接触过或体验过相关VR设备的浅度用户约为1700万人，购买过各种VR设备的用户约为96万人。

According to the report that focuses on the analysis of VR users ' behaviors , the volume of light users , who have tried out or experienced related devices , has reached about 17 million in the past year , and around 960000 people have purchased different kinds of VR equipment .

一个智能搜索引擎的用户行为聚类分析

A Clustering Analysis on the Conduct of User of Searcher Engine

基于用户行为分析的应用层组播树生成算法

An Algorithm of Constructing ALM Tree Based on User Behavior Analysis

该文提出了一种新的挖掘用户行为模式的算法。

A new algorithm for mining user behavior pattern is proposed .

三是对相似歌曲进行了用户行为分析。

It is to likeness song undertook user behavior is analysed .