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Web based process mining and visualization tool
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Shukla, Aditya. Web based process mining and visualization tool. Retrieved from https://doi.org/doi:10.7282/T3348NT2

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TitleWeb based process mining and visualization tool
NameShukla, Aditya (author); Marsic, Ivan (chair); Rutgers University; Graduate School - New Brunswick
Date Created2017
Other Date2017-01 (degree)
SubjectElectrical and Computer Engineering, Data mining, Information systems
Extent1 online resource (vi, 46 p. : ill.)
DescriptionProcess mining has received huge attention by researchers in the last couple of decades. Business processes leave execution logs in various forms which can be examined and analyzed to formalize the process execution. Process mining techniques help analysts to extract knowledge from event logs and traces. Due to ever increasing amount of data and need of mobility and platform independence it is becoming harder to provide a visualization for analysis without overwhelming the user. Informal processes leave behind event logs that cannot be analyzed by plain old algorithms. The information and properties regarding a process highly depends upon the domain and hence a variety of conformance models needs to be analyzed. The existing process mining and visualization tools (Prom, EventFlow, RapidMiner) provide sophisticated visualization at the cost of mobility and platform independence. Therefore, in this thesis we propose a web based mobile and platform independent approach extending Trace Alignment [1][2] based approach to provide a feasible solution to the problem.
NoteM.S.
NoteIncludes bibliographical references
Noteby Aditya Shukla
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T3348NT2
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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