| Presentation | 2017-05-25 [Special Talk] Real-time Forecasting of Big Time-series Data: Foundations and Challenges Yasushi Sakurai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Time-series data analysis is an important topic that has attracted huge interest in countless domains. Given a large collection of time series, such as IoT device data, web-click logs, electric medical records, how can we efficiently and effectively capture important patterns? How can we statistically summarize all the sequences, and achieve a meaningful segmentation? How do we go about forecasting long-term future events? We develop important data mining techniques that can help us extract meaningful information and knowledge from large-scale time-series data. We review the state of the art in four related fields: (1) pattern discovery and summarization, (2) large-scale non-linear modeling, (3) big tensor analysis, and (4) real-time modeling and forecasting. The emphasis of this talk is to provide the intuition behind these powerful techniques, as well as to introduce case studies that illustrate their practical use. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Big time-series data / Data streams / Non-linear tensor analysis / Real-time forecasting |
| Paper # | SIP2017-11,IE2017-11,PRMU2017-11,MI2017-11 |
| Date of Issue | 2017-05-18 (SIP, IE, PRMU, MI) |
| Conference Information | |
| Committee | PRMU / IE / MI / SIP |
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| Conference Date | 2017/5/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eisaku Maeda(NTT) / Seishi Takamura(NTT) / Yoshitaka Masutani(Hiroshima City Univ.) / Makoto Nakashizuka(Chiba Inst. of Tech.) |
| Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Atsuro Ichigaya(NHK) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) / Masahiro Okuda(Univ. of Kitakyushu) / Shogo Muramatsu(Niigata Univ.) |
| Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) / Takayuki Hamamoto(NTT) / Atsuro Ichigaya(Chiba Inst. of Tech.) / Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) / Masahiro Okuda(Ritsumeikan Univ.) / Shogo Muramatsu(Chiba Inst. of Tech.) |
| Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) / Kei Kawamura(KDDI R&D Labs.) / Keita Takahashi(Nagoya Univ.) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) / Osamu Watanabe(Takushoku Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Image Engineering / Technical Committee on Medical Imaging / Technical Committee on Signal Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Special Talk] Real-time Forecasting of Big Time-series Data: Foundations and Challenges |
| Sub Title (in English) | |
| Keyword(1) | Big time-series data |
| Keyword(2) | Data streams |
| Keyword(3) | Non-linear tensor analysis |
| Keyword(4) | Real-time forecasting |
| 1st Author's Name | Yasushi Sakurai |
| 1st Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| Date | 2017-05-25 |
| Paper # | SIP2017-11,IE2017-11,PRMU2017-11,MI2017-11 |
| Volume (vol) | vol.117 |
| Number (no) | SIP-47,IE-48,PRMU-49,MI-50 |
| Page | pp.pp.61-61(SIP), pp.61-61(IE), pp.61-61(PRMU), pp.61-61(MI), |
| #Pages | 1 |
| Date of Issue | 2017-05-18 (SIP, IE, PRMU, MI) |