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A generalized architecture for bookmark and replay techniques

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dc.contributor.advisor Janecek, Paul (Chairperson) en_US
dc.contributor.author Napassaporn Likhitsajjakul en_US
dc.contributor.other Souris, Marc (Member) en_US
dc.contributor.other Duboz, Raphael (Member) en_US
dc.date.accessioned 2015-01-12T10:41:34Z
dc.date.available 2015-01-12T10:41:34Z
dc.date.issued 2011-05 en_US
dc.identifier.other AIT Thesis no.CS-11-05 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/400
dc.description Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science. en_US
dc.description.abstract Exploratory Data Analysis explored data set by using visualization and data manipulation in order to reveal the underlying patterns and relationship among data. Today’s interfaces do not typically support the capture or review of the states in this process, which could answer how the analysts came to their conclusions. Additionally, in order to collaborate among analysts, they often require a collection set of exploration states to be shared as well as the relevant domain data. As a result, the data analysis process itself is necessary for recording in order to be able to freely navigate or backtrack to the analysis activities, and then perform further analysis based on an interesting point in time or explore alternative exploration paths. The idea to move back and forth between states can be found in researches since long ago. However, most of these researches targets specific application domain, and yet few generalized architecture supporting those idea has ever been proposed. As a result, few of the application benefit from those researches. The purpose of this thesis is to propose a generalized architecture used for bookmarking and replaying states across an analysis activity. The primary attribute of the architecture would promote high flexibility that allows many application domains to actually adopt and apply it. Furthermore, the performance of different ways of bookmarking and replaying states, which includes state copying and command pattern, were also compared and evaluated towards determining the most suitable architecture. Our evaluation results show that our architecture promotes high flexibility and could be deployed in many application domains. A future expansion for this architecture could support multiple timeline, which would enable parallel exploration of the solution space. en_US
dc.description.sponsorship Thailand (HM King) en_US
dc.language.iso eng en_US
dc.publisher Asian Institute of Technology en_US
dc.subject Visualization en_US
dc.subject Data manipulation en_US
dc.subject Information architecture en_US
dc.subject.lcsh Others en_US
dc.title A generalized architecture for bookmark and replay techniques en_US
dc.type Thesis en_US
dc.rights.holder Copyright (C) 2011 by Asian Institute of Technology. en_US


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