Sündmuste logi alusel tööstiili tuvastamise tööriist
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2018
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Abstract
Äriinfotehnoloogias on tööstiil küllaltki uus uurimusteema. See on tihedalt seotud teistest uurimisvaldkondadest tuntud kontseptsioonidega nagu näiteks organisatsiooniline kaevandamine, visuaalne analüüs ning mustrituvastus. Organisatsioonikaevet abistavaid tööriistu on küll mitmeid, kuid nad on kõik üldiseks otstarbeks eraldiseisvad programmid ning ükski ei spetsialiseeru süviti just tööstiili tuvastamisele. Antud uurimustöö tulemusena valmisdomeenispetsiifiline veebipõhine tööriist. mis aitab kasutajal tuvastada tööstiili identifikaatoreid. Kasutajal on antud keskkonda võimalik importida vaadeldavate isikute tegevuste ajalugu, vaadelda neid andmeid ning koostada päringuid tuvastamaks tööstiili mustreid. Lisaks funktsionaalsetele ning tehnilistele nõuetele on kaetud ka tööriista teostuse üksikasjad.Lisaks arutleb autor arenduse käigus tekkinud raskuste üle ning kirjeldab tööriista valmistamisel kasutatud tehnoloogiates leitud puudujääkide hetkeseisu. Lõputöös tehakse ka mitmeid ettepanekuid tööriista täiendamiseks edasistes töödes ning demonstreeritakse näiteandmestiku abil tööriista kasutamist, uurides programmi erinevaid võimalusi ning aspekte.
Working style is a relatively new topic in Business Informatics. It is strictly related to concepts existing in other areas of the research such as Organizational Mining, Visual analytics, Pattern recognition. While there are several tools to tackle the task of organizational mining, they are general purpose stand-alone desktop applications, and none of them concentrate solely and deeply on working style identification. To this end, this thesis introduces a domain-specific web-based tool that aids the user with working styleidentification. The tool allows end users to import event logs. They can explore and query patterns to answer the questions related to the working style of the human actors involved in that event logs. The thesis presents, functional and technical requirements as well as the implementation details of the tool. Also, discusses the difficulties faced during the development and the gaps that have been identified in the current state of practice of the technologies that were used for implementation. Moreover, several possible extensions of the tool are suggested that could be addressed in the future works. Finally, the thesisdemonstrates the usage of the tool by importing the sample data and exploring different capabilities and aspects of the application.
Working style is a relatively new topic in Business Informatics. It is strictly related to concepts existing in other areas of the research such as Organizational Mining, Visual analytics, Pattern recognition. While there are several tools to tackle the task of organizational mining, they are general purpose stand-alone desktop applications, and none of them concentrate solely and deeply on working style identification. To this end, this thesis introduces a domain-specific web-based tool that aids the user with working styleidentification. The tool allows end users to import event logs. They can explore and query patterns to answer the questions related to the working style of the human actors involved in that event logs. The thesis presents, functional and technical requirements as well as the implementation details of the tool. Also, discusses the difficulties faced during the development and the gaps that have been identified in the current state of practice of the technologies that were used for implementation. Moreover, several possible extensions of the tool are suggested that could be addressed in the future works. Finally, the thesisdemonstrates the usage of the tool by importing the sample data and exploring different capabilities and aspects of the application.