Cart (Loading....) | Create Account
Close category search window
 

Parallel Techniques for Large Data Analysis in a Futures Trading Evaluation Service System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Qin Xiongpai ; Sch. of Inf., Renmin Univ. of China, Beijing, China ; Wang Huiju ; Du Xiaoyong ; Wang Shan

Futures trading evaluation system is used to analyze trading history of individuals, to find out the root cause of profit and loss, so that investors can learn from their past and make better decisions in the future. To analyze trading history of investors, the system processes a large volume of transaction data, to calculate key performance indicators, as well as time series behavior patterns, finally concludes recommendations with the help of an expert knowledge base. The paper firstly presents the working logic of the evaluation system, then it focuses on parallel data processing techniques that the system is based on. Parallel processing architecture, data distribution scheme, key performance indicators calculating algorithms and distributed time series analysis algorithms are elaborated in details. The system is highly scalable, and by exploiting the power of parallel processing, the generation time of an evaluation report is cut down from 1 to 3 minute, to 30 to 45 seconds.

Published in:

Grid and Cooperative Computing (GCC), 2010 9th International Conference on

Date of Conference:

1-5 Nov. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.