高效的WEB-Log Mining算法

通过对WEB服务器日志文件进行分析,可以发现相似的客户群体、相关WEB页面以及频繁访问路径.这里提出了一种新颖的WEB日志挖掘算法,该算法是以服务器日志文件中的不同会话为聚类对象,通过对不同会话实施空间距离聚类和层次结构比较聚类,最终得到了满意的聚类结果.最后,给出了一个应用实例,实例表明,该方法是有效可行的.     

基于归纳化会话的网络用户的聚类

为了发掘具有相似的访问兴趣的网络用户,探讨了网络用户聚类的问题。网络用户的访问信息从服务器日志文件中抽取出来,组织成会话向量的形式,会话描述为一段时间内用户向服务器发出一系列访问请求。为了减少会话向量的维度,根据网页的层次性,采用面向属性的推理方法,对这些会话进行了归纳,并且定义了一个新的距离测度来描述两个会话之间的相似度,最后采用某种非欧几里德的关系聚类算法聚类这些归纳化的会话。实验表明,这种方法对在大型的日志文件集中挖掘出有意义的网络用户的分类是高效可行的。     

基于K-Means算法的Web日志用户聚类研究

Web日志作为服务器的记录文件,记录了网站最重要的信息,随着大数据时代数据量的骤然增加,提出一种应对大数据量的数据挖掘算法,更有效地分析日志文件迫在眉睫。用户聚类是在对日志文件进行数据预处理的基础上,建立用户会话序列矩阵,进而对其进行聚类分析,论文针对K-Means算法在选取初始中心点上存在的问题,以及在构建用户会话矩阵后存在的孤立点的问题,提出了一种密度参数和KCR算法的优化算法-ICKM算法,该算法利用密度参数最大的对象作为第一中心点,随后从数据集中将此对象删除,利用KCR算法寻找下一个中心点,算法借助MapReduce计算框架,提高大数据环境下的数据处理速度,通过实验表明,ICKM算法在寻找初始中心点以及用户聚类上具有较高的准确度,在处理大数据量的数据集时,有较好的的运算速度。     

集群Web服务器预取机制中用户会话聚类的研究与实现

本文研究了使用集群环境下的用户访问日志数据生成用户会话聚类的方法：编制Perl脚本从用户访问日志中生成用户会话,以新的相似度度量取代欧几里德距离改进Leader算 法对用户会话集合进行聚类,并计算聚类的内部距离和间隔距离来验证算法的有效性。实验结果表明,这种实现能有效地对用户访问日志进行聚类,并能满足服务器预取机制
制在线分析的时间、空间要求。     

基于神经网络的Web用户行为聚类分析

本文提出了一种用神经网络对Web用户的行为进行分析的方法,首先对WWW服务器的日志文件进行分析,再进行会话划分,并从会话向量中找出频繁数据集,以便选取合适的会话向量。进行规一化处理后生成模式向量,并采用Kohonen的SOFM模型进行聚类,最后生成用户聚类。实验结果及对比分析表明用神经网络方法能有效地对用户行为进行聚类分析。     

基于模糊聚类的Web日志挖掘的应用研究

在Web数据挖掘研究领域中，Web日志挖掘是Web数据研究领域中一个最重要的应用方面。本文对Web日志挖掘作了系统的研究。包括对服务器上日志结构的分析和对数据预处理过程的描述。文中着重讨论了用户模糊聚类的算法，并用实例证明了模糊聚类在web用户聚类应用中的可行性。在此基础上还提出了一个Web站点的个性化服务模型，通过对Web服务器中日志的挖掘，发现具有相似访问兴趣的用户群，进而为用户作个性化的推荐。     

基于用户会话的Web应用性能测试方法的研究

近年来,Web应用成为互联网时代基础设施中最重要的组成部分。随着互联网技术的不断进步以及使用用户数量的不断增长,Web应用也越发变得复杂。为了保证Web应用性能测试的有效性和真实性,提出一种利用服务器日志中的用户会话信息、结合经过序列匹配算法改进的层次凝聚算法来自动产生Web应用性能测试脚本的方法。提出的方法通过从服务器日志中提取出用户会话信息,分析用户真实的访问模式,通过聚类算法将同类型的用户访问模式进行聚集,自动产生相应的测试请求序列,生成测试集。相比于传统的基于录制/回访的测试方法,基于用户会话的性能测试方法通过对用户会话进行聚类分析,还原实际的用户访问模式,减少了设计测试用例时的人工参与,保证了测试结果的有效性和真实性。     

利用蚁群聚类检测应用层DDoS攻击的方法

提出了一种利用蚁群聚类检测应用层分布式拒绝服务攻击的方法,根据合法用户和攻击用户在浏览行为上的差异,从合法用户的Web日志中提取用户会话并计算不同会话间的相似度,运用一种蚁群聚类算法自适应地建立检测模型,利用该模型对待检测会话进行攻击识别。实验结果表明该方法能够有效地检测出攻击行为,并具有较好的适应性。     

Web日志挖掘中的序列模式识别

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目标挖掘中的序列模式识别

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日志挖掘过程邓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。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。