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Task-at-hand interface for change detection in stock market data

Published: 23 May 2006 Publication History

Abstract

Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousands of records) are virtually impossible to understand quickly and require the use of a visual model, since that is the fastest way for a human brain to absorb those enormous collections of data. However, little work has been done on verifying which visualizations are more suitable to represent these data sets. Such work is of crucial importance, since it enables us to identify those useful visual models and, in addition, opens our minds to new research possibilities. This paper presents an empirical study of different visualizations, that have been employed for stock market data, by comparing the results obtained by all studied techniques in typical exploratory data analysis tasks. This work provides several research contributions to the design of advanced visual data exploration interfaces.

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cover image ACM Other conferences
AVI '06: Proceedings of the working conference on Advanced visual interfaces
May 2006
512 pages
ISBN:1595933530
DOI:10.1145/1133265
  • General Chair:
  • Augusto Celentano
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

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  • (2021)Visualisation Tool to Support Fraud Detection2021 25th International Conference Information Visualisation (IV)10.1109/IV53921.2021.00022(77-87)Online publication date: Jul-2021
  • (2020)CyberWolfProceedings of the 15th International Conference on Availability, Reliability and Security10.1145/3407023.3409191(1-7)Online publication date: 25-Aug-2020
  • (2018)Visualising Business Data: A SurveyInformation10.3390/info91102859:11(285)Online publication date: 17-Nov-2018
  • (2016)A Survey on Visual Analysis Approaches for Financial DataComputer Graphics Forum10.5555/3071534.307159135:3(599-617)Online publication date: 1-Jun-2016
  • (2016)A Survey on Visual Analysis Approaches for Financial DataComputer Graphics Forum10.1111/cgf.1293135:3(599-617)Online publication date: 4-Jul-2016
  • (2013)Visualizing recent changes in WikipediaScience China Information Sciences10.1007/s11432-013-4867-956:5(1-15)Online publication date: 24-May-2013
  • (2012)Feeling the pulse of a wikiProceedings of the 5th International Symposium on Visual Information Communication and Interaction10.1145/2397696.2397708(77-86)Online publication date: 27-Sep-2012
  • (2011)Supporting display scalability by redundant mappingProceedings of the 7th international conference on Advances in visual computing - Volume Part I10.5555/2045110.2045163(472-483)Online publication date: 26-Sep-2011
  • (2011)Supporting Display Scalability by Redundant MappingAdvances in Visual Computing10.1007/978-3-642-24028-7_44(472-483)Online publication date: 2011
  • (2010)Visual market sector analysis for financial time series data2010 IEEE Symposium on Visual Analytics Science and Technology10.1109/VAST.2010.5652530(83-90)Online publication date: Oct-2010
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