Presentation 2017-06-30
Anomaly Detection of Hardly Predictable Systems by Autoencoder
Hiroyuki Gotou, Tomoya Suzuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) For anomaly detection in time-series data, it is common to compose a prediction model trained by historical data and investigate the difference between the predicted value and the real value. However, in the case of analyzing hardly predictable systems like financial markets, it is difficult to compose prediction models. For this reason, we applied the autoencoder to estimate the reasonable present value, not to predict any future value, and investigate the difference between its estimated reasonable value and the real value. As a case study, we used this concept for the anomaly detection of stock markets and verified the efficiency of trading strategies using the modification of abnormal stock prices by some investment simulations and statistical significance tests using real stock price data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Anomaly Detection / Autoencoder / Complex Financial Systems
Paper # CCS2017-8
Date of Issue 2017-06-22 (CCS)

Conference Information
Committee CCS
Conference Date 2017/6/29(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Ibaraki Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Interaction and Communication, etc.
Chair Naoki Wakamiya(Osaka Univ.)
Vice Chair Mikio Hasegawa(Tokyo Univ. of Science) / Makoto Naruse(NICT)
Secretary Mikio Hasegawa(Osaka Univ.) / Makoto Naruse(Tokyo City Univ.)
Assistant Chisa Takano(Hirishima City Univ.) / Takashi Shimada(Univ. of Tokyo) / Tomoya Suzuki(Ibaraki Univ.) / Ryo Takahashi(AUT)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Anomaly Detection of Hardly Predictable Systems by Autoencoder
Sub Title (in English) Trading Strategy Foreseeing Modification of Abnormal Stock Prices
Keyword(1) Anomaly Detection
Keyword(2) Autoencoder
Keyword(3) Complex Financial Systems
1st Author's Name Hiroyuki Gotou
1st Author's Affiliation Ibaraki University(Ibaraki Univ.)
2nd Author's Name Tomoya Suzuki
2nd Author's Affiliation Ibaraki University(Ibaraki Univ.)
Date 2017-06-30
Paper # CCS2017-8
Volume (vol) vol.117
Number (no) CCS-112
Page pp.pp.35-40(CCS),
#Pages 6
Date of Issue 2017-06-22 (CCS)