Presentation 2005-06-17
Analysis for Relationships of Web Services Using Web Access Log Data
Takashi SUENAGA, Takashi OKADA, Satomi ISHIUCHI,
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Abstract(in English) We propose a new analysing method of sequencial data generating in Web sight. This data is used for counting access frequency of each service and traffic analysis of arrived proportion of each supposed route. Some web sights called portal sights usually supply many services and their users are surfing across a few services. Web sight designers suppose users interests and link with relational serveces in their web sight. They must evaluate the relation of their supplied services using web access log data of their users, and may expect to be concious of surprising combinations. For this purpose, we propose an extracting method of each service for following ones in consideration of a sequencial property in web access data. In addition, we report experimental results of our proposed ones.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Web access log / sequencial data / data analysis / data mining
Paper # DE2005-17,PRMU2005-38
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Committee DE
Conference Date 2005/6/10(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis for Relationships of Web Services Using Web Access Log Data
Sub Title (in English)
Keyword(1) Web access log
Keyword(2) sequencial data
Keyword(3) data analysis
Keyword(4) data mining
1st Author's Name Takashi SUENAGA
1st Author's Affiliation Research and Development Headquarters, NTT Data Corporation()
2nd Author's Name Takashi OKADA
2nd Author's Affiliation Research and Development Headquarters, NTT Data Corporation
3rd Author's Name Satomi ISHIUCHI
3rd Author's Affiliation Research and Development Headquarters, NTT Data Corporation
Date 2005-06-17
Paper # DE2005-17,PRMU2005-38
Volume (vol) vol.105
Number (no) 117
Page pp.pp.-
#Pages 4
Date of Issue