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The Research on the Algorithm of Mining User’s Frequent Access Path from Web Log

Author: WangHui
Tutor: ZhangJunWen
School: Beijing Jiaotong University
Course: Computer Science and Technology
Keywords: Web log Data Mining Sequence mode Frequent path WAP algorithm
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 102
Quote: 0
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Abstract


With the rapid development of the network , the business website is gradually increased. How to optimize the structure of the site based on user behavior , or take the initiative to provide users with personalized service , to become the main problem of the troubled site managers , the emergence of the Web log mining indicate a new direction to solve this problem . As an important branch of Web mining , Web log mining has become a hot research . Web log mining is the traditional data mining techniques applied to Web logs to discover patterns of behavior and interests of users to access the site , as well as analysis of the use of the site . In this thesis, in-depth study users from Web log mining frequent access path . First , for data preprocessing in-depth study , which introduces the concept of a page -level session identification stage , page views threshold to determine more accurate ; subsequently improved transaction identification proposed IMFR algorithm , the algorithm path completion and transaction identification merge step to simplify the data preprocessing operation . Then, the author -depth study of the two types of frequent path mining algorithms, candidate set generation algorithms and candidate set algorithm . Which focus on the set of non- candidate algorithm WAP algorithm proposed an improved algorithm NGCWAP is WAP algorithm based on the algorithm by the former the preorder traversal No. and after preorder number to track the candidate sequence distribution in which the sub- tree , thus avoiding the construction of the physical condition of the tree . Web log mining prototype system of programming to achieve a B / S structure , the system uses a the improved transaction the identification algorithm IMFR and frequent path the mining algorithm NGCWAP found frequent user access path . In addition , the system can also find some conventional mode , for example , the most popular page , user sources . Improved algorithm and mining system , the paper carried out detailed tests , and test results of a more detailed analysis and summary .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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