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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/3850

Title: Canonical behavior patterns
Authors: Mankowski, Walter C.
Keywords: Computer science;Motor vehicle driving;Browsers (Computer programs);Protocol analysis
Issue Date: Jun-2012
Abstract: A common problem in many areas of behavioral research is the analysis of the large volume of protocol data recorded during the execution of tasks. This dissertation describes a new automated method of protocol analysis to nd canonical behaviors | a small subset of behavior protocols that are most representative of the full data set. The method I have developed takes advantage of recent algorithmic developments in pattern recognition. By adapting these methods to the analysis of behavior protocols, I provide a new tool for analysts working with large datasets that are infeasible to study using current methods. The method I propose can also be used as an important complement to existing sequential protocol analysis techniques, by allowing researchers to build their models based on a few highly representative samples. The contributions of this dissertation include the adaptation of the method to the analysis of behavior protocols; the development of similarity measures appropriate to behavior protocols; an extension of the method to work in oriented topologies; and a demonstration of the method's utility in real-world problem domains, particularly web browsing and driving.
Description: Thesis (PhD, Computer science)--Drexel University, 2012.
URI: http://hdl.handle.net/1860/3850
Appears in Collections:Drexel Theses and Dissertations

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