| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CAS, ICTSSL | 2021-01-29 09:10 |
Online | Online | How to create a dataset for stock price forecasting using NN Fuya Kaneda, Kousuke Kato, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT)  CAS2020-56 ICTSSL2020-41 |
In this report，we discuss how to build a Neural Network (NN) for Stock price forecasting．First，we briefly explain about ... [more] | CAS2020-56 ICTSSL2020-41 pp.97-100 |
| CAS, ICTSSL | 2021-01-29 09:30 |
Online | Online | A study of stock price prediction method using LSTM Neural Network Kousuke Kato, Fuya Kaneda, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-57 ICTSSL2020-42 |
In this report，we discuss how to build a Long Short-Term Memory Neural Network (LSTM) for Stock price forecasting, usin... [more] | CAS2020-57 ICTSSL2020-42 pp.101-103 |
| SC | 2020-05-29 15:45 |
Online | Online | A Study on Stock Prediction Algorithms Based on Soft-Computing Techniques Chun-Yuan Lai, Goutam Chakraborty (Iwate Prefectural University), Rung-Ching Chen (Chaoyang University), Masafumi Matsuhara (Iwate Prefectural University) SC2020-4 |
A Study on Stock Prediction Algorithms Based on Soft-Computing Techniques [more] | SC2020-4 pp.19-24 |
| 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 |
| SWIM | 2019-02-22 13:40 |
Tokyo | Kikai-Shinko--Kaikan Bldg. | Proposal of evaluation index on relevance between Nikkei average and industry average Takuya Takasaki, Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2018-22 |
The Nikkei Stock Average is widely known as an indicator to show trends in stock price movements of 225 top-rated Japane... [more] | SWIM2018-22 pp.7-12 |
| SWIM | 2018-12-01 16:15 |
Tokyo | Tokyo Univ. of Science | Stock Price Prediction by Retrieving Similar Stock pattern on Combined Candlestick Chart Motoki Kimura, Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2018-20 |
The stock prices are apt to show no directional movements when there is no significant news, resulting in generating a s... [more] | SWIM2018-20 pp.29-34 |
| SWIM | 2018-05-19 16:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Studies on Stock Price Trend Prediction Using Cahndlestick Chart Patterns Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2018-6 |
In finance, technical analysis is a technique that aims to forecast the future direction of stock prices through the stu... [more] | SWIM2018-6 pp.27-34 |
| SWIM | 2018-02-23 14:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Proposal of Retrieval Method of Time-series Data with Multiple Attributes
-- Evaluating Capabilities of Stock Price Forecast -- Tatsuya Yamanaka, Shogo Tejima, Daiki Morishita, Eiji Akisawa, Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2017-24 |
Stock market prediction techniques play a crucial role in bringing more people into market and encouraging the market as... [more] | SWIM2017-24 pp.13-18 |
| SWIM, SC | 2017-08-25 11:10 |
Tokyo | Dynamic Programming Method for Retrieving Similar Numerical Sequences
-- Application to Mining Stock Price Sequences -- Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2017-9 SC2017-14 |
The trend of stock price fluctuation continues with intermission of several days because stock prices tend to fluctuate ... [more] | SWIM2017-9 SC2017-14 pp.7-12 |
|
| NLC, IPSJ-IFAT | 2017-02-09 13:30 |
Osaka | Stock market prediction from Web news using expert articles and machine learning Ko Ichinose, Kazutaka Shimada (KIT) NLC2016-43 |
The market analysis is one of the important tasks for text mining. Many researchers have proposed methods using text inf... [more] | NLC2016-43 pp.19-24 |
|
| SWIM | 2016-12-03 14:40 |
Tokyo | Tokyo polytechnic Univ. | Extraction of stock price fluctuation patterns using sequential data maining method Yoshihisa Udagawa (Tokyo Polytechnic Univ) SWIM2016-14 |
Stock prices are an indicator that represents hidden assets of society and reflects the economic activity at the time. T... [more] | SWIM2016-14 pp.19-24 |
| SWIM | 2016-08-26 16:05 |
Tokyo | Proposal for stock price data analysis model
-- Approach using sequential data mining -- Yoshihisa Udagawa (Tokyo Polytechnic University) SWIM2016-10 |
To invest in shares of a company means financially to support the economic activities of the company. If it is possible ... [more] | SWIM2016-10 pp.23-28 |
|
| NLC, TL [detail] | 2015-06-05 15:45 |
Tokushima | The University of Tokushima | Stock market prediction from Web news using filtering and machine learning Ko Ichinose, Kazutaka Shimada (KIT) TL2015-16 NLC2015-16 |
The market analysis is one of the important tasks for text mining. Many researchers have proposed methods using text in... [more] |
TL2015-16 NLC2015-16 pp.91-96 |
| PRMU, SP | 2012-02-09 15:45 |
Miyagi | Stock Price Prediction by Combining Stock Price Regression and Web News Text Mining Hiroyoshi Takahashi, Kazuhiro Seki, Kuniaki Uehara (Kobe Univ.) PRMU2011-203 SP2011-118 |
In this study, we propose a method for stock price prediction using web news articles. There are two types of informati... [more] |
PRMU2011-203 SP2011-118 pp.103-108 |
|
| IBISML | 2011-03-28 - 2011-03-29 |
Osaka | Nakanoshima Center, Osaka Univ. | Stock Price Prediction Corresponding to More Than One Companies on the Web News Youhei Tsuji, Kanako Komiya, Yoshiyuki Kotani (TUAT) IBISML2010-119 |
In this study, the authors predict the direction of the stock price movement and the ratio of it. They focused on the p... [more] |
IBISML2010-119 pp.109-113 |
[Return to Top Page]