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Security Metrics of SAP Platform
Třeštíková, Lenka ; Barabas, Maroš (referee) ; Kačic, Matej (advisor)
Main goal of this thesis is analyzing potential security risks of the SAP NetWeaver platform and identifying various vulnerabilities, that are results of poor system configuration, incorrect segregation of duties or insufficient patch management. Methodology for platform evaluation is defined by vulnerabilities, security requirements and controls will be created.
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Service for Goal Planning and Tracking in Dancesport
Třeštíková, Lenka ; Skála, František (referee) ; Szőke, Igor (advisor)
The aim of this thesis is to create a web application for goal planning and tracking in dancesport. This application enables recording of trainings and tracking of results of competitions. The results are imported from website of Czech DanceSport Federation and website of World DanceSport Federation. This application was created in PHP programming language and the Nette Framework. This text describes the development process - nalysis and specification of requirements, design, construction and testing.
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Artificial Intelligence Document Classification
Molnár, Ondřej ; Kačic, Matej (referee) ; Třeštíková, Lenka (advisor)
This paper deals with document classification using artificial intelligence. It describes the principles of classification and machine learning. It also introduces AI methods and presents Naive Bayes classification method in detail. Provides practical implementation of the classifier in MS Office and discusses other possible extensions.
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Content Document Classification
Borčík, Filip ; Kačic, Matej (referee) ; Třeštíková, Lenka (advisor)
This work deals with document classification based on standard family ISO/IEC 27000. Points to a need, but also issues of classification in corporate environment. The work also implements system for MS office documents classification based on content analysis using defined rules. This system is introduced into DocTag application developed by AEC company.
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Content Document Classification
Borčík, Filip ; Kačic, Matej (referee) ; Třeštíková, Lenka (advisor)
This work deals with document classification based on standard family ISO/IEC 27000. Points to a need, but also issues of classification in corporate environment. The work also implements system for MS office documents classification based on content analysis using defined rules. This system is introduced into DocTag application developed by AEC company.
|
|
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Artificial Intelligence Document Classification
Molnár, Ondřej ; Kačic, Matej (referee) ; Třeštíková, Lenka (advisor)
This paper deals with document classification using artificial intelligence. It describes the principles of classification and machine learning. It also introduces AI methods and presents Naive Bayes classification method in detail. Provides practical implementation of the classifier in MS Office and discusses other possible extensions.
|
|
|
Security Metrics of SAP Platform
Třeštíková, Lenka ; Barabas, Maroš (referee) ; Kačic, Matej (advisor)
Main goal of this thesis is analyzing potential security risks of the SAP NetWeaver platform and identifying various vulnerabilities, that are results of poor system configuration, incorrect segregation of duties or insufficient patch management. Methodology for platform evaluation is defined by vulnerabilities, security requirements and controls will be created.
|
|
|
Service for Goal Planning and Tracking in Dancesport
Třeštíková, Lenka ; Skála, František (referee) ; Szőke, Igor (advisor)
The aim of this thesis is to create a web application for goal planning and tracking in dancesport. This application enables recording of trainings and tracking of results of competitions. The results are imported from website of Czech DanceSport Federation and website of World DanceSport Federation. This application was created in PHP programming language and the Nette Framework. This text describes the development process - nalysis and specification of requirements, design, construction and testing.
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