Pre-Processing of Query Logs in Web Usage Mining
نویسندگان
چکیده
منابع مشابه
Web Usage Mining with Web Logs
With the rapid growth of the World Wide Web, the use of automated Web-mining techniques to discover useful and relevant information has become increasingly important. One challenging direction is Web usage mining, wherein one attempts to discover user navigation patterns of Web usage from Web access logs. Properly exploited, the information obtained from Web usage log can assist us to improve t...
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User logs of a popular search engine keep track of user activities including user queries, user click-through from the returned list, and user browsing behaviors. Knowledge about user queries discovered from user logs can improve the performance of the search engine. We propose a data-mining approach that produces generalized query patterns or templates from the raw user logs of a popular comme...
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Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. In this paper, we define the notion of a “user session” as being a temporally compact sequence of web accesses by a user. We also define a new distance measure between two web sessions that captures the organization of a web site. Web usage mining consist...
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Web search engines have stored in their logs information about users since they started to operate. This information often serves many purposes. The primary focus of this survey is on introducing to the discipline of query mining by showing its foundations and by analyzing the basic algorithms and techniques that are used to extract useful knowledge from this (potentially) infinite source of in...
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The use of non-English Web search engines has been prevalent. Given the popularity of Chinese Web searching and the unique characteristics of Chinese language, it is imperative to conduct studies with focuses on the analysis of Chinese Web search queries. In this paper, we report our research on the character usage of Chinese search logs from Web search engine in Hong Kong. By examining the dis...
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ژورنال
عنوان ژورنال: Industrial Engineering and Management Systems
سال: 2012
ISSN: 1598-7248
DOI: 10.7232/iems.2012.11.1.082