Description: 一个基于Web 链接挖掘和内容相关性分析的智能信息检索系统-links to a Web-based mining and content analysis of the Intelligent Information Retrieval System Platform: |
Size: 131480 |
Author:none |
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Description: 一个基于Web 链接挖掘和内容相关性分析的智能信息检索系统-links to a Web-based mining and content analysis of the Intelligent Information Retrieval System Platform: |
Size: 131072 |
Author: |
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Description: 硕士论文：基于Web内容挖掘的网页分类与过滤研究与应用，大家可以学习一下-Master s thesis: Based on Web content mining web page classification and filtering research and application, we can learn about Platform: |
Size: 2640896 |
Author:zimeng |
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Description: In this project, we present a complete framework and findings in mining web usage patterns from Web log files of a real website that has all the challenging aspects of real life web usage mining, including evolving user profiles and external data describing ontology of the web content. Even though the website under study is part of a non-profit organization that does not "sell" any products, it was crucial to understand "who" the users were, "what" they looked at, and "how their interests changed with time", all of which are important questions in Customer Relationship Management (CRM). Platform: |
Size: 18386944 |
Author:Rajamanickam |
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Description: An innovative knowledge-based methodology for terrorist detection by using Web traffic content as the audit
information is presented. The proposed methodology learns the typical behavior of terrorists by
applying a data mining algorithm to the textual content of terror-related Web sites. The resulting profile is used
by the system to perform real-time detection of users suspected of being engaged in terrorist activities. The
Receiver-Operator Characteristic (ROC) analysis shows that this methodology can outperform a commandbased
intrusion detection system Platform: |
Size: 217088 |
Author:keerthi |
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Description: 挖掘Web中的信息 ，C#编写的网页内容抓取工具，多线程采集，效率很高，网页抓取简单源代码 定时抓取、下载保存-Mining the information in the Web, C# Web content crawler written, multi-threaded collection, efficient, simple web crawler to crawl the source code regularly, download save Platform: |
Size: 347136 |
Author:zhouzeyi |
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Description: This book of web mining.This book contains the description of web structure mining, web usage mining and web content mining.This is very good book for researcher, mtech and phd scholar.-This is book of web mining.This book contains the description of web structure mining, web usage mining and web content mining.This is very good book for researcher, mtech and phd scholar. Platform: |
Size: 4405248 |
Author:rishi |
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Description: 针对用户在社区网络中面对海量的信息和资源，如何快速便捷地获得自己感兴趣内容的问题，提出一
种基于社区网络内容的个性化推荐算法。在得到相同兴趣用户聚类的基础上，该算法首先通过用户访问日志信
息挖掘相似内容推荐项，然后根据用户兴趣挖掘新的内容推荐项。实验结果表明，该算法不仅提高了内容推荐
精度，而且扩展了内容覆盖面。-Network for users in the community in the face of a flood of information and resources, how to quickly and easily access content of interest issue, a
Kinds of community-based web content personalized recommendation algorithm. Users get the same interest in the cluster, based on the algorithm begins with the user access log information
Information content of recommended items similar to mining, and mining based on user interest in new content recommended items. Experimental results show that the algorithm not only improve the content recommended
Accuracy, and extend the content coverage. Platform: |
Size: 280576 |
Author:ming |
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Description: Web数据挖掘(世界著名计算机教材精选),作者BingLiu刘冰
刘兵(BingLiu)，伊利诺伊大学芝加哥分校(UIC)教授，他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家，在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣，他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑，也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。
本书旨在阐述web数据挖掘的概念及其核心算法，使读者获得相对完整的关于web数据挖掘的算法和技术知识。本书不仅介绍了搜索、页面爬取和资源探索以及链接分析等传统的Web挖掘主题，而且还介绍了结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等内容，这些内容在已有书籍中没有提及过，但它们在Web数据挖掘中却占有非常重要的地位。全书分为两大部分：第一部分包括第2章到第5章，介绍数据挖掘的基础；第二部分包括第6章到第12章，介绍Web相关的挖掘任务。
-Web data mining (world-renowned computer materials selection), the authors BingLiu Liu Bing
Liu Bing (BingLiu), University of Illinois at Chicago (UIC) professor, Ph.D. in Artificial Intelligence at Edinburgh University. Professor Liu Bing is the field of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments, he worked in internationally renowned academic journals and major international conferences (such as KDD, WWW, AAAI, SIGIR, ICML, TKDE, etc.) on the release of data mining, Web mining and text mining papers more than a hundred articles. Professor Liu Bing served as editor of several international journals, but also a number of international conferences (such as WWW, KDD and AAAI, etc.) of the Program Committee.
This book seeks to explain the concept and web data mining of the core algorithm, so that readers gain a relatively complete information on web data mining algorithms Platform: |
Size: 3355648 |
Author:陈东 |
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Description: 这是一本关于web data mining的书籍。既适合初学者，也适合有一定基础的人群。作者刘兵是Web挖掘研究领域的国际知名专家，在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣。-This is a book about web data mining. Not only for beginners, but also the basis for a certain crowd. Bing is the author of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments. Platform: |
Size: 8485888 |
Author:郑牟 |
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Description: 10几篇文本挖掘方面的论文 例如 web内容挖掘综述 web内容挖掘技术研究.-Text mining,data mining,web mining.10 several text mining papers such as the web content mining Summary of Web Content Mining. Platform: |
Size: 5294080 |
Author:姜峰 |
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Description: The World Wide Web has evolved in less than two decades as the major source of data and information for
all domains. Web has become today not only an accessible and searchable information source but also one of the most
important communication channels, almost a virtual society. Web mining is a challenging activity that aims to discover
new, relevant and reliable information and knowledge by investigating the web structure, its content and its usage.
Though the web mining process is similar to data mining, the techniques, algorithms and methodologies used to mine
the web encompass those specific to data mining, mainly because the web has a great amount of unstructured data and
the changes are frequent and rapid. This paper is structured into two sections. The first one briefly discusses the
different web mining tasks and the second one is focusing on advanced artificial intelligence (AI) methods for
information retrieval and web search, link analysis, opinion mining and web usage mining.,The World Wide Web has evolved in less than two decades as the major source of data and information for
all domains. Web has become today not only an accessible and searchable information source but also one of the most
important communication channels, almost a virtual society. Web mining is a challenging activity that aims to discover
new, relevant and reliable information and knowledge by investigating the web structure, its content and its usage.
Though the web mining process is similar to data mining, the techniques, algorithms and methodologies used to mine
the web encompass those specific to data mining, mainly because the web has a great amount of unstructured data and
the changes are frequent and rapid. This paper is structured into two sections. The first one briefly discusses the
different web mining tasks and the second one is focusing on advanced artificial intelligence (AI) methods for
information retrieval and web search, link analysis, opinion mining and web usage mining. Platform: |
Size: 69632 |
Author:khan |
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Description: Web personalization is the process of customizing a Web site to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user’s navigational behavior (usage data) in correlation with other information collected in the Web context, namely, structure, content and user profile data. Due to the explosive growth of the Web, the domain of Web personalization has gained great momentum both in the research and commercial areas. In this article we present a survey of the use of Web mining for Web personalization. More specifically, we introduce the modules that comprise a Web personalization system, emphasizing the Web usage mining module. A review of the most common methods that are used as well as technical issues that occur is given, along with a brief overview of the most popular tools and applications available from software vendors. Moreover, the most important research initiatives in the Web usage mining and personalization areas are presented.,Web personalization is the process of customizing a Web site to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user’s navigational behavior (usage data) in correlation with other information collected in the Web context, namely, structure, content and user profile data. Due to the explosive growth of the Web, the domain of Web personalization has gained great momentum both in the research and commercial areas. In this article we present a survey of the use of Web mining for Web personalization. More specifically, we introduce the modules that comprise a Web personalization system, emphasizing the Web usage mining module. A review of the most common methods that are used as well as technical issues that occur is given, along with a brief overview of the most popular tools and applications available from software vendors. Moreover, the most important research initiatives in the Web usage mining and personalization areas are presented. Platform: |
Size: 400384 |
Author:khan |
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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 Platform: |
Size: 4553728 |
Author:陈琼德 |
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Description: 《自己动手写网络爬虫》介绍了网络爬虫开发中的关键问题与Java实现。主要包括从互联网获取信息与提取信息和对Web信息挖掘等内容。《自己动手写网络爬虫》在介绍基本原理的同时注重辅以具体代码实现来帮助读者加深理解，书中部分代码甚至可以直接使用。
-" Do it yourself write web crawler" describes the development of web crawlers key issues and Java. Including access to information from the Internet and extract information and other content on Web information mining. " Web crawler to write himself" in the introduction of the basic principles while focusing supplemented by specific code to help readers to deepen understanding, the book part of the code can even be used directly. Platform: |
Size: 26259456 |
Author:alex |
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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 Platform: |
Size: 320512 |
Author:varun |
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Description: VeryCMS是一套基于php+mysql 数据库平台架构的网站内容管理系统。作为能独立运行的系统，VeryCMS 正式版集成了内容管理、广告管理、首页自定义、新闻采集等主流cms 元素，同时又具备强大的扩展功能，能轻松整合论坛、blog等通用型系统，挖掘有价值的信息，快速打造具有个人特色的个人社区门户。-VeryCMS is set based on php+ mysql platform architecture of Web Content Management System. As the system can operate independently, VeryCMS official version integrates content management, advertising management, home custom, news gathering and other mainstream cms element, but also have powerful extensions can easily be integrated forums, blog and other general-purpose systems, mining has value, and rapidly build community portals have individual personal characteristics.
Platform: |
Size: 1937408 |
Author:gayuo |
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Search - web content mining