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Description: 用于WEB结构的挖掘，是非常好用的，需要个人去慢慢研究和琢磨-WEB structure for mining, it is very easy to use, requires individuals to study and wondering slowly
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Size: 314368 |
Author: rongzhen |
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Description: 这是一本关于web数据挖掘的书籍，但不是很适合初学者。-This is a book about web data mining, but not very suitable for beginners.
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Size: 2294784 |
Author: 郑牟 |
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Description: preprocessing tool for web usage mining
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Size: 4435968 |
Author: satya |
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Description: 使用java语言实现抓取人人网的好友信息，并形成一张关系网络，从而进行相关的网络挖掘分析。-Java language to crawl all network events, and the formation of a network of relationships, which related to web mining points
Analysis.
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Size: 540672 |
Author: heshaoshao |
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Description: （Web数据挖掘讲义-UIC刘兵著）Web Data Mining-Author Bing Liu By Springer-(Web Data Mining Web Data Mining-the Author, Bing Liu, By, Bing handouts-UIC), Springer,
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Size: 22091776 |
Author: 平沙沙 |
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Description: 基于支持向量机的Web文本挖掘技术研究 用SVM进行特征抽取、用虚样本引入先验知识以及增量
学习等关键问题，取得了～定的成果。-RESEARCHONSVM BASEDWEBTEXTN MINING
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Size: 3082240 |
Author: xz |
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Description: Web使用挖掘是从Web日志中挖掘用户访问模式和知识。分析和探索日
志中的规律能够确认电子商务中的潜在用户、提高信息服务的质量和提高
Web服务系统的性能。
-Web usage mining is mining user access patterns and knowledge from Web logs. Analysis and explore the laws of the log to be able to confirm the potential users of e-commerce, improve the quality of information services and improve the performance of Web services.
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Size: 1728512 |
Author: 毛玉凤 |
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Description: semantic web mining paper
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Size: 102400 |
Author: sam |
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Description: 海量数据研究电子书籍，国外著名大学使用此书作为web智能处理与应用教材-mining the massive dataset
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Size: 1911808 |
Author: |
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Description: 是一本关于Web数据挖掘的好书，里面介绍了倒排索引的数据索引的知识，是一本值得学习的书-web data mining
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Size: 8432640 |
Author: lianghui |
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Description: 在针对ELF文件 PE文件(.exe与.dll)的漏洞挖掘过程中,出现了很多的漏洞挖掘
技术,但是针对PE文件 ELF文件的漏洞挖掘始终停留在了黑盒测试(包括单元黑盒测试)
源代码审计等办法.通过RATS等源代码审计软件可以找到部分源代码级别的漏洞信息,
但是毕竟源代码审计软件寻找的多数为strcpy memcpy等存在缓冲区溢出遗患的C函数,所以通过审计源代码的办法来进行漏洞挖掘是一个可能性系数很小的漏洞挖掘技术-Loopholes for the ELF file PE file (. Exe and. Dll) mining process, there has been a lot of loopholes in mining technology, but digging for loopholes in the PE file ELF file always stay in the black-box testing (including unit black box testing) The source code audit approach. RATS audit software source code can be found in the part of the source code level vulnerability information, but, after all, the audit software source code to find the majority of C function strcpy memcpy there a buffer overflow Aftermath, so by the audit source code approach to vulnerability mining is a very small probability coefficient loophole mining techniques
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Size: 4096 |
Author: 杨帆 |
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Description: 《Mining the Social Web》社交网络中的数据挖掘，对python基础有所需求。-" Mining the Social Web" Data Mining in social networks, the demand for the python foundation.
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Size: 4429824 |
Author: 铭泽 |
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Description: 以PPT形式讲述Web结构挖掘、日志挖掘、内容挖掘、数据挖掘、文本挖掘
-PPT form to describe Web structure mining, Web log mining, Web content mining, data mining, text mining
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Size: 4553728 |
Author: 陈琼德 |
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Description: 浅谈云计算的Web数据挖掘方法 主要有基于web的云计算 信息提取-Talking about cloud computing Web data mining methods are mainly web-based cloud computing information extraction
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Size: 84992 |
Author: 张钦 |
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Description: 社交网站数据挖掘与分析[Mining the Social Web](英文完整+中文样章+源代码)。英文完整版的，包括所有的源代码。部分中文样张-Data mining and analysis of social networking sites [Mining the Social Web] (English+ Chinese sample chapter+ complete source code)
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Size: 10091520 |
Author: 梁宇翔 |
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Description: Web 数据挖掘， 研究数据挖掘的经典著作，初学者必读。-Web data mining, data mining classics, required reading for beginners.
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Size: 3355648 |
Author: joey |
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Description: This paper tell about clustering with ant colony web usage mining
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Size: 175104 |
Author: syarif |
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Description: 互联网用户行为挖掘，数据预处理与用户行为高级分析-web mining
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Size: 330752 |
Author: 张三 |
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Description: Web mining techniques are used to analyze the web
information resources. Web content mining and structure mining
methods are used to analyze the web page contents. The user
access information is maintained under the web logs. The usage
mining technique is used to analyze the web logs. The web logs
are maintained under the web server environment. User access
patterns are extracted the web logs. The web content
management and link connectivity are improved using the access
patterns. The association rule mining techniques are used to
extract item set relationships. Item set frequencies are used in the
rule mining process. Page weights are used to denote the
importance of the web pages. The weighted rule mining
techniques are used to fetch the frequently accessed web pages
with its weight values-Web mining techniques are used to analyze the web
information resources. Web content mining and structure mining
methods are used to analyze the web page contents. The user
access information is maintained under the web logs. The usage
mining technique is used to analyze the web logs. The web logs
are maintained under the web server environment. User access
patterns are extracted the web logs. The web content
management and link connectivity are improved using the access
patterns. The association rule mining techniques are used to
extract item set relationships. Item set frequencies are used in the
rule mining process. Page weights are used to denote the
importance of the web pages. The weighted rule mining
techniques are used to fetch the frequently accessed web pages
with its weight values
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Size: 320512 |
Author: varun |
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Description: With the explosive growth of information sources
available on the WW, it has become an important tool for
users in order to find, extract, filter and uate the desired
information and resources. The main purpose of this paper is
to study the customer s behavior using the Web mining
techniques and its application in e-commerce to mine customer
behavior. The concept of Web mining describing the process of
Web data mining in detail: source data collection, data pre
processing, pattern discovery, pattern analysis and cluster
analysis. With the advanced information technologies, server
are now able to collect and store mountains of data, describing
their numerous contributions and different customer profiles,
which they seek to derive information about their
customer s requirements.-With the explosive growth of information sources
available on the WW, it has become an important tool for
users in order to find, extract, filter and uate the desired
information and resources. The main purpose of this paper is
to study the customer s behavior using the Web mining
techniques and its application in e-commerce to mine customer
behavior. The concept of Web mining describing the process of
Web data mining in detail: source data collection, data pre
processing, pattern discovery, pattern analysis and cluster
analysis. With the advanced information technologies, server
are now able to collect and store mountains of data, describing
their numerous contributions and different customer profiles,
which they seek to derive information about their
customer s requirements.
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Size: 411648 |
Author: varun |
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