標題: A polygon description based similarity measurement of stock market behavior
作者: Lai, Por-Shen
Fu, Hsin-Chia
資訊工程學系
Department of Computer Science
關鍵字: Similarity measurement;Data distribution;Polygon deformation;Stock market behavior;Data mining
公開日期: 1-三月-2010
摘要: In this paper. we propose and implement a data modeling system to measure the similarity of stock market behavior in different time periods. To implement this system, we also propose a data distribution approximation model, Polygon descriptor, and a shape difference measurement. called Deforming distance method The Polygon descriptor can model a data distribution by characterizing the data dependency relationship among the data variables, and the Deforming distance is designed to be translation, scale, and rotation Invariant. The Polygon descriptor and Deforming distance method are combined to measure the similarity between data sets based on the shape of data distribution. Stock price and EPS (earn per share) data during different time periods were selected to verify the modeling and measuring power of the proposed model and method. The Polygon descriptor is used to model the collected Stock price and EPS data for their dependency relationship Then, difference between Polygon descriptors can be measured by using the Deforming distance Measurement method for their Deforming distance Values Based oil the Deforming difference Values. the similarity of stock market behaviors in two time periods can be assessed, and the similar stock market behavior of different time periods can be identified To demonstrate the capabilities of the proposed method and system. real-world data of Taiwan stock market during the period from 1986 to 2006 were collected and used. Experimental results show that the Polygon descriptor successfully captures the data dependencies between stock price and EPS, and the Deforming difference based similarity measurement estimates the changes of market behavior better than some commonly used methods. A web-based prototype system is available at http://www.csie.cntu.edu tw/-pslar /TWStockSldx/ for public trial. evaluation, comments and suggestions (C) 2009 Elsevier Ltcl All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2009.06.084
http://hdl.handle.net/11536/5809
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2009.06.084
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 37
Issue: 2
起始頁: 1113
結束頁: 1123
顯示於類別:期刊論文


文件中的檔案:

  1. 000272432300026.pdf