Presentation 2004/3/8
GPS Log Data Mining for Acquisition of Tourism Information
MItsuyoshi NAGAO, Hidenori KAWAMURA, Masahito YAMAMOTO, Azuma OHUCHI,
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Abstract(in English) In this paper, we propose a GPS log data mining method for acquisition of tourism information. Recently, the number of tourists which utilize rent-a-car has extremely increased according to shift of tourism type from group tour to personal tour. Therefore, in this research, we perform the extraction of personal behavior information which is effective for tourism information from GPS log data in rent-a-car tour. Currently, the position detection with high accuracy can be performed by using GPS because SA which leads to decrease of accuracy has been removed. However, when GPS is independently used, detection error and impossibility frequently occur under influence of electrolytic dissociation, atmosphere condition, GPS receiver condition and so on. The proposed method is robust against such situations and can extract the accurate personal behavior information from the GPS log data with error. We confirm the effectiveness of proposed method through the experiments using GPS log data collected from tourists in Hokkaido.
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Keyword(in English) GPS / Log Data Mining / Tourism Information / Personal Behavior Information / Rent-a-car
Paper # AI2003-77
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Committee AI
Conference Date 2004/3/8(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) GPS Log Data Mining for Acquisition of Tourism Information
Sub Title (in English)
Keyword(1) GPS
Keyword(2) Log Data Mining
Keyword(3) Tourism Information
Keyword(4) Personal Behavior Information
Keyword(5) Rent-a-car
1st Author's Name MItsuyoshi NAGAO
1st Author's Affiliation Information Initiative Center, Hokkaido University()
2nd Author's Name Hidenori KAWAMURA
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Masahito YAMAMOTO
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
4th Author's Name Azuma OHUCHI
4th Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2004/3/8
Paper # AI2003-77
Volume (vol) vol.103
Number (no) 724
Page pp.pp.-
#Pages 6
Date of Issue