YOSHIDA Mitsuo
- Refereed academic journal/Refereed international conference paper
- Decision Tree Analysis of Tourists' Preferences Regarding Tourist Attractions Using Geotag Data from Social Media
Takashi Nicholas Maeda Mitsuo Yoshida Fujio Toriumi Hi...
The 2nd EAI International Conference on IoT in Urban Space (Urb-IoT 2016) (note)/pp.61-64, 2016-05 - Trend Query Analysis on Heterogeneous Web Resources
吉田光男 荒瀬由紀
IPSJ Transactions on Databases (in Japanese)/9(1)/pp.20-30, 2016-03 - Geo-location Estimation of Tweets with Stop Words Detection
森國泰平 吉田光男 岡部正幸 梅村恭司
IPSJ Transactions on Databases (in Japanese)/8(4)/pp.16-26, 2015-12 - Confidence Interval of Probability Estimator of Laplace Smoothing
Masato Kikuchi Mitsuo Yoshida Masayuki Okabe Kyoji Ume...
The 2015 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA2015), 2015-08 - Wikipedia Page View Reflects Web Search Trend
Yoshida Mitsuo; Arase Yuki; Tsunoda Takaaki; Yamamoto Mikio
The 2015 ACM Web Science Conference (WebSci15), 2015-06 - Why Do You Follow Him?: Multilinear Analysis on Twitter
Yuto Yamaguchi; Yoshida Mitsuo; Christos Faloutsos; Hiroy...
The 24th International World Wide Web Conference (WWW2015)/pp.137-138, 2015-05 - Patterns in Interactive Tagging Networks
Yuto Yamaguchi; Yoshida Mitsuo; Christos Faloutsos; Hiroy...
The 9th International AAAI Conference on Web and Social Media (ICWSM-15)/pp.513-522, 2015-05 - Trend Query Classification using Label Propagation
吉田光男 荒瀬由紀
Transactions of the Japanese Society for Artificial Intelligence (in Japanese)/30(1)/pp.161-171, 2015-01 - Automatic Extraction of Blog Posts and Comments from Blog Pages
吉田光男; 乾 孝司; 山本 幹雄
IPSJ Journal/54(12)/pp.2502-2512, 2013-12 - Exploiting Twitter for Spiking Query Classification
Mitsuo Yoshida Yuki Arase
The Eighth Asia Information Retrieval Societies Conference (AIRS 2012)/7675/pp.138-149, 2012-12 - Primary content extraction from news pages without training data
吉田光男; 山本 幹雄
DBSJ journal/8(1)/pp.29-34, 2009-06
- Decision Tree Analysis of Tourists' Preferences Regarding Tourist Attractions Using Geotag Data from Social Media