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 Platform: |
Size: 388170 |
Author:kiki |
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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 Platform: |
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! Platform: |
Size: 8887296 |
Author:zz |
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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。-I always think that SVM is a very interesting thing, however, has been no way to (mostly red hall) to listen to the teacher Lin Zhiren Data mining with SVM class was reading some documents on the web to listen to kcwu talked about with the usage of libsvm later, wanted to tidy up can be considered for the SVM does not need to know the complete theory of entry to provide the use of libsvm. Platform: |
Size: 24576 |
Author:Alec |
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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: 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: 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. Platform: |
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. 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: Periodic pattern mining is the problem that regards tempo-
ral regularity. There are many emerging applications in periodic pattern
mining, including web usage recommendation, weather prediction, com-
puter networks and biological data. In this paper, we propose a Pro-
gressive Timelist-Based Veri cation (PTV) method to the mining of pe-
riodic patterns from a sequence of event sets. The parameter min rep,
is employed to specify the minimum number of repetitions required for
a valid segment of non-disrupted pattern occurrences. We also describe
a partitioning approach to handle extra large/long data sequence. The
experiments demonstrate good performance and scalability with large
frequent patterns. Platform: |
Size: 161792 |
Author:Moorthi |
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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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Search - web usage mining