Presentation | 2014-03-13 Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA Yoshitatsu MATSUDA, Kazunori YAMAGUCHI, Ken-ichiro NISHIOKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we extract various patterns of the spatio-temporal distribution from Foursquare data. For extracting patterns, we employ ICA (Independent Component Analysis), which is a widely-used method in signal processing and feature extraction. Because the Foursquare data consists of check-in's at some time points and locations, ICA is not directly applicable to the data. In order to smooth the data, we estimate a continuous spatio-temporal distribution by employing a diffusion-type formula. The experiments on the actual Foursquare dataset showed that the proposed method could extract some plausible and interesting spatio-temporal patterns. They also suggested that the estimation with the proposed method is promising when the sample size is limited. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | spatio-temporal pattern / diffusion-type estimation / independent component analysis |
Paper # | PRMU2013-173 |
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Committee | PRMU |
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Conference Date | 2014/3/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA |
Sub Title (in English) | |
Keyword(1) | spatio-temporal pattern |
Keyword(2) | diffusion-type estimation |
Keyword(3) | independent component analysis |
1st Author's Name | Yoshitatsu MATSUDA |
1st Author's Affiliation | Department of General Systems Studies, The University of Tokyo() |
2nd Author's Name | Kazunori YAMAGUCHI |
2nd Author's Affiliation | Department of General Systems Studies, The University of Tokyo |
3rd Author's Name | Ken-ichiro NISHIOKA |
3rd Author's Affiliation | Department of General Systems Studies, The University of Tokyo |
Date | 2014-03-13 |
Paper # | PRMU2013-173 |
Volume (vol) | vol.113 |
Number (no) | 493 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |