Presentation | 2011-03-04 Analysis of Websites information using Multiple Access Log Daisuke Waki, Shinya Nogami, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The present study attempts to clarify a relationship among multiple websites using access log analysis. A lot of information is widely and deeply clarified than a previous access log analysis and is useful for administrators. A method by which to create a model of the relationship among multiple websites was proposed in a previous paper. This study investigates how to generate a model that represents the relationship among multiple websites based on an assumption. The assumption is making a database of access log analysis of many websites. This model develops characteristic values (for example, Similarity of websites, Similarity of Keywords, Percentage of Views). Based on the results of this analysis, the relationship among sites including sites indirectly linked to other sites is revealed. These results are more useful to administrators than the results obtained by previously existing methods. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | analysis / access / log / website / database / administrator / conversion / simulation |
Paper # | IN2010-188 |
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Conference Information | |
Committee | IN |
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Conference Date | 2011/2/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of Websites information using Multiple Access Log |
Sub Title (in English) | |
Keyword(1) | analysis |
Keyword(2) | access |
Keyword(3) | log |
Keyword(4) | website |
Keyword(5) | database |
Keyword(6) | administrator |
Keyword(7) | conversion |
Keyword(8) | simulation |
1st Author's Name | Daisuke Waki |
1st Author's Affiliation | Graduate School of Management, Tokyo University of Science() |
2nd Author's Name | Shinya Nogami |
2nd Author's Affiliation | School of Management, Tokyo University of Science |
Date | 2011-03-04 |
Paper # | IN2010-188 |
Volume (vol) | vol.110 |
Number (no) | 449 |
Page | pp.pp.- |
#Pages | 6 |
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