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Description: 主要关于web使用挖掘的介绍，非常不错的文章。-mainly on the use of web mining, a very good article.
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Size: 13426 |
Author: 杨颂 |
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Description: 我一直覺得 SVM 是個很有趣的東西，不過也一直沒辦法 (mostly 衝堂) 去聽林智仁老師 的 Data mining 跟 SVM 的課； 後來看了一些網路上的文件跟聽 kcwu 講了一下 libsvm 的用法後，就想整理一下，算是對於並不需要知道完整 SVM 理論的人提供使用 libsvm 的入門.-SVM I always think that is something very interesting, but we also have no way (mostly Chong Tong) to listen to the teachers Linzhiren Data mining with SVM's class; Later read some documents on the Internet kcwu listen to speakers with a little libsvm usage, wanted to tidy up, is not for the need to know SVM complete theory for the use of libsvm entry.
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Size: 405633 |
Author: 军 |
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Description: 数据挖掘的一个研究方向,此书中介绍了数据挖掘的基本概念以及weka的用法-a data mining research, the book introduces the Data Mining and the basic concept of the usage weka
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Size: 5420637 |
Author: 无影 |
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Description: 介绍数据挖掘中的web挖掘，基本含义，策略及步骤-introduced the Data Mining web mining, basic meaning, strategy and steps
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Size: 388170 |
Author: kiki |
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Description: 主要关于web使用挖掘的介绍，非常不错的文章。-mainly on the use of web mining, a very good article.
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Size: 13312 |
Author: 杨颂 |
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Description: 我一直覺得 SVM 是個很有趣的東西，不過也一直沒辦法 (mostly 衝堂) 去聽林智仁老師 的 Data mining 跟 SVM 的課； 後來看了一些網路上的文件跟聽 kcwu 講了一下 libsvm 的用法後，就想整理一下，算是對於並不需要知道完整 SVM 理論的人提供使用 libsvm 的入門.-SVM I always think that is something very interesting, but we also have no way (mostly Chong Tong) to listen to the teachers Linzhiren Data mining with SVM's class; Later read some documents on the Internet kcwu listen to speakers with a little libsvm usage, wanted to tidy up, is not for the need to know SVM complete theory for the use of libsvm entry.
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Size: 405504 |
Author: 军 |
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Description: 数据挖掘的一个研究方向,此书中介绍了数据挖掘的基本概念以及weka的用法-a data mining research, the book introduces the Data Mining and the basic concept of the usage weka
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Size: 5420032 |
Author: 无影 |
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Description: 介绍数据挖掘中的web挖掘，基本含义，策略及步骤-introduced the Data Mining web mining, basic meaning, strategy and steps
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Size: 388096 |
Author: kiki |
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Description: 各种数据挖掘算法的源代码，很齐全，很好用的阿！-data mining algorithm source code is very comprehensive and good use of A!
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Size: 8887296 |
Author: zz |
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Description: Web使用挖掘技术研究-Web Usage Mining Research
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Size: 184320 |
Author: chen |
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Description: 一个简单的Java爬虫，可以实现对网页的爬取，并进行分析，爬取需求的网页.-A simple Java reptiles, can be achieved on the climb from the page, and an analysis of the demand for climbing check the page.
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Size: 20480 |
Author: 焦波 |
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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).
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Size: 18386944 |
Author: Rajamanickam |
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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.
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Size: 4405248 |
Author: rishi |
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Description: preprocessing tool for web usage mining
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Size: 4435968 |
Author: satya |
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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: 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.
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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.
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Size: 400384 |
Author: khan |
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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: this file consist of two pdf file for web mining
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Size: 442368 |
Author: hassannajafi |
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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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