Index financial time series based on zigzag-perceptually important points
dc.contributor.author | Chawalsak Phetchanchai | |
dc.contributor.author | Ali Selamat | |
dc.contributor.author | Amjad Rehman | |
dc.contributor.author | Tanzila Saba | |
dc.date.accessioned | 2025-03-10T07:37:41Z | |
dc.date.available | 2025-03-10T07:37:41Z | |
dc.date.issued | 2010 | |
dc.description.abstract | Problem statement: Financial time series were usually large in size, unstructured and of high dimensionality. Since, the illustration of financial time series shape was typically characterized by a few number of important points. These important points moved in zigzag directions which could form technical patterns. However, these important points exhibited in different resolutions and difficult to determine. Approach: In this study, we proposed novel methods of financial time series indexing by considering their zigzag movement. The methods consist of two major algorithms: first, the identification of important points, namely the Zigzag-Perceptually Important Points (ZIPs) identification method and next, the indexing method namely Zigzag based M-ary Tree (ZM-Tree) to structure and organize the important points. Results: The errors of the tree building and retrieving compared to the original time series increased when the important points increased. The dimensionality reduction using ZM-Tree based on tree pruning and number of retrieved points techniques performed better when the number of important points increased. Conclusion: Our proposed techniques illustrated mostly acceptable performance in tree operations and dimensionality reduction comparing to existing similar technique like Specialize Binary Tree (SB-Tree). © 2010 Science Publications. | |
dc.identifier.citation | Journal of Computer Science | |
dc.identifier.doi | 10.3844/jcssp.2010.1389.1395 | |
dc.identifier.issn | 15493636 | |
dc.identifier.scopus | 2-s2.0-78049488467 | |
dc.identifier.uri | https://repository.dusit.ac.th//handle/123456789/5042 | |
dc.language | English | |
dc.rights | All Open Access; Green Open Access; Hybrid Gold Open Access | |
dc.rights.holder | Scopus | |
dc.subject | Financial time series indexing | |
dc.subject | Important points | |
dc.subject | Time series | |
dc.subject | ZM-Tree | |
dc.title | Index financial time series based on zigzag-perceptually important points | |
dc.type | Article | |
mods.location.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049488467&doi=10.3844%2fjcssp.2010.1389.1395&partnerID=40&md5=42857a15eed8cbf0aa583854df26d936 | |
oaire.citation.endPage | 1395 | |
oaire.citation.issue | 12 | |
oaire.citation.startPage | 1389 | |
oaire.citation.volume | 6 |