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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SWIM 2019-11-30
15:40
Tokyo TUS Kagurazaka Campus Fujimi Bldg. Studies on Stock Price Trend Prediction Using Candlestick Chart Patterns
Yoshihisa Udagawa (Tokyo University of Information Sciences) SWIM2019-23
Candlestick charting is one of the most popular techniques used to predict short-term stock price trends. Despite of the... [more] SWIM2019-23
pp.21-28
IN, NS
(Joint)
2019-03-05
14:10
Okinawa Okinawa Convention Center Scraping for Statistical Analysis on Dark Web Market Focusing on Cyber Attack
Takahiro Iwanaga, Akihiro Nakao (Univ. of Tokyo) NS2018-271
In recent years, cyber attack tools and attack agency services are traded in markets called “Dark Web Markets” developed... [more] NS2018-271
pp.455-460
NLP, CCS 2018-06-10
13:35
Kyoto Kyoto Terrsa Prediction of Foreign Exchange Rates by Trading Records of Clients -- Using Collective Intelligence of non-professional Views --
Kazuto Yano, Tomoya Suzuki (Ibaraki Univ) NLP2018-46 CCS2018-19
Foreign-exchange trading (FX) is well known as an asset management method like stock investment. Individual traders basi... [more] NLP2018-46 CCS2018-19
pp.103-108
NS, IN
(Joint)
2018-03-01
11:30
Miyazaki Phoenix Seagaia Resort Statistical Analysis on Dark Web Market Focusing on DDoS/Botnet
Takahiro Iwanaga, Akihiro Nakao (The Univ. of Tokyo) NS2017-182
In recent years, cyber attack tools and attack agency services are traded in markets called “Dark Web Markets” developed... [more] NS2017-182
pp.85-90
CQ
(2nd)
2017-01-21
12:30
Osaka Osaka University Nakanoshima Center [Poster Presentation] Car Sales Prediction using State Space Model with Search Volume on the Web
Taichi Yamaguchi (Univ. of Tsukuba), Takaaki Tsunoda (CyberAgent), Mitsuo Yoshida (Toyohashi Tech), Sho Tsugawa, Mikio Yamamoto (Univ. of Tsukuba)
Regarding monthly car sales as time series data, we can predict the future car sales using state space models. However, ... [more]
NLP 2014-01-21
11:00
Hokkaido Niseko Park Hotel Automated Forex Trading System Using the Nonlinear Portfolio Model
Hirotake Wachi, Vu Tat Thanh, Satoshi Inose (Ibaraki Univ.), Atsushi Kannari (MS&AD), Tomoya Suzuki (Ibaraki Univ.) NLP2013-132
In our previous studies (S.Inose, 2013) the nonlinear portfolio model was proposed and its usefulness was confirmed in s... [more] NLP2013-132
pp.19-24
BioX
(2nd)
2013-05-24
17:40
Toyama Toyama Prefectural University [Poster Presentation] An examination of the possibility about price prediction in prefrontal cortex: A NIRS study
Yurie Mitsuda, Tadanobu Misawa (Univ. of Toyama), Tetsuya Shimokawa (Tokyo Univ. of Sci.), Shigeki Hirobayashi (Univ. of Toyama)
In recent years, neuromarketing which is the method to examine purchasing motive from the brain activity of consumers is... [more]
AI 2012-02-28
15:40
Tokyo   Prediction markets and their applications as a mechanism for crowdsourcing
Hajime Mizuyama (AGU) AI2011-40
Crowdsourcing can be captured as an attempt to aggregate micro intellectual contributions of many anonymous people into ... [more] AI2011-40
p.33
AI, IPSJ-ICS, JSAI-KBS 2009-03-03
11:25
Miyagi Laforet Zao Resort & Spa An Analysis of Market Financial Trends by a New Text Minining Method
Kiyoshi Izumi (National Inst. of Adv Ind Scie and Tech.), Takashi Goto (MUFG), Tohgoroh Matsui (Tokyo Univ. of Scie.)
In this study, we proposed a new text-mining methods for long-term market analysis. Using our method, we analysed monthl... [more] AI2008-77
pp.75-80
AI 2008-09-16
11:20
Kyoto Kyoto Univ. Clock Tower Analysys of Monthly Price Data using Text Data
Kiyoshi Izumi (AIST), Takashi Goto (BTMU), Tohgoroh Matsui (TUS) AI2008-18
In this study, we proposed a new text-mining methods for long-term market analysis. Using our method, we analysed monthl... [more] AI2008-18
pp.13-16
AI 2007-12-13
11:00
Kyoto   From Artificial Market Simulation to Service
Kiyoshi Izumi (AIST), Hiroki Matsui (CMD Lab.), Fujio Toriumi (Nagoya Univ.) AI2007-21
This paper proposed a system to which a user can create new services using a market simulation freely by modularization ... [more] AI2007-21
pp.7-10
SIP, SIS, SP 2007-09-27
10:25
Aichi Nagoya Inst. of Tech. Feature Extraction of Multi-fractal Stock Prices generated by Multi-Agent Systems based on the GP Learning and its Applications to the Estimation of Factors dominating Markets Applications to the Estimation of Factors dominating Markets
Yoshikazu Ikeda (Shinshu Univ.), Shozo Tokinaga (Kyushu Univ.) SIP2007-84 SIS2007-20 SP2007-46
This report deals with the multi-fractality analysis of artificial stock prices generated by behaviors of multi-agants u... [more] SIP2007-84 SIS2007-20 SP2007-46
pp.7-12
AI 2007-05-31
11:35
Tokyo Kikai-Shinko-Kaikan Bldg. Personalized Recommendation by Identifying Innovator
Noriaki Kawamae, Takeshi Yamada, Naonori Ueda (NTT) AI2007-4
(To be available after the conference date) [more] AI2007-4
pp.19-24
 Results 1 - 13 of 13  /   
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