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E-commerce System Database Migration
Zkoumalová, Barbora ; Weirich, Pavel (referee) ; Luhan, Jan (advisor)
The object of master‘s thesis is design and creation of e-commerce system database migration tool from the ZenCart platform to the PrestaShop platform. Both system databases will be described and analysed and based on gained information the migration tool will be created according customers‘ requirements and then final data migration from original to the new database will be executed.
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Mathematical Models of Process Capability
Horník, Petr ; Hübnerová, Zuzana (referee) ; Bednář, Josef (advisor)
Firstly, we deal with the verification of normality and other necessary prerequisites needed in this thesis. We also introduce transformations to converse non-normally distributed data to normal and continue with capability analysis. We describe the design of control charts, useful tools to assess process stability. They help us to eliminate assignable causes and leave only chance causes in process. We obtain process in control state. Finally, we introduce both capability and performance ratios for both normal and non-normal data, and analyse some of their properties. At the end of the thesis, we prove acquired knowledge by performing capability analysis of real process.
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Design, Creation and Implementation of Software Applications in the Corporate Environment
Pacal, Václav ; Koch, Miloš (referee) ; Novák, Lukáš (advisor)
The thesis deals with the analysis of the current state, design and implementation of a web application in a corporate environment for processing and storing data from an application that does not use relational databases, but works with event-based data. In addition, the application allows the export and transformation of this data to an external database for an analytical application. The thesis includes an analysis of the tracking of data changes in the database and message brokers. In addition to the design and implementation, the final chapter discusses the economic evaluation of the thesis.
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Using Cellular Automata for Data Compression
Polák, Marek ; Trunda, Otakar (advisor) ; Mráz, František (referee)
In this thesis we research the possibilities of using cellular automata for lossless data compression. We describe the classification of cellular automata and their current usage. We study the properties of various types of elementary cellular automata (i.e. Wolfram rules), describe their equivalence classes, the ways of forward as well as backward simulation, we examine the rules with interesting behavior. The states provided by these rules are evaluated in terms of their orderliness (e.g. the ratio of living cells or approximation of entropy). We implement some standard compression algorithms and compare them in terms of usability for best rated states. By application of acquired knowledge we propose a new compression algorithm, test it on text and image data and compare the results with traditional compression algorithms. Powered by TCPDF (www.tcpdf.org)
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Presentation layer and interface for a system for information integration and search
Hladík, Tomáš ; Nečaský, Martin (advisor) ; Peška, Ladislav (referee)
The aim of this thesis is to analyse, design and implement a system to present business objects. These objects are accessible through an existing RESTful API of an integration system. The system combines various sources and publishes them together with information how these data are stored. The task of the thesis is to create data views that meet the following requirements - they can react to metadata changes, they support multiple output formats and these views can be customized. The application should be easily modifiable and connectable to already existing web systems.
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Evolutionary Algorithms for Data Transformation
Švec, Ondřej ; Pilát, Martin (advisor) ; Neruda, Roman (referee)
In this work, we propose a novel method for a supervised dimensionality reduc- tion, which learns weights of a neural network using an evolutionary algorithm, CMA-ES, optimising the success rate of the k-NN classifier. If no activation func- tions are used in the neural network, the algorithm essentially performs a linear transformation, which can also be used inside of the Mahalanobis distance. There- fore our method can be considered to be a metric learning algorithm. By adding activations to the neural network, the algorithm can learn non-linear transfor- mations as well. We consider reductions to low-dimensional spaces, which are useful for data visualisation, and demonstrate that the resulting projections pro- vide better performance than other dimensionality reduction techniques and also that the visualisations provide better distinctions between the classes in the data thanks to the locality of the k-NN classifier. 1
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Using Cellular Automata for Data Compression
Polák, Marek ; Trunda, Otakar (advisor) ; Mráz, František (referee)
In this thesis we research the possibilities of using cellular automata for lossless data compression. We describe the classification of cellular automata and their current usage. We study the properties of various types of elementary cellular automata (i.e. Wolfram rules), describe their equivalence classes, the ways of forward as well as backward simulation, we examine the rules with interesting behavior. The states provided by these rules are evaluated in terms of their orderliness (e.g. the ratio of living cells or approximation of entropy). We implement some standard compression algorithms and compare them in terms of usability for best rated states. By application of acquired knowledge we propose a new compression algorithm, test it on text and image data and compare the results with traditional compression algorithms. Powered by TCPDF (www.tcpdf.org)
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Presentation layer and interface for a system for information integration and search
Hladík, Tomáš ; Nečaský, Martin (advisor) ; Peška, Ladislav (referee)
The aim of this thesis is to analyse, design and implement a system to present business objects. These objects are accessible through an existing RESTful API of an integration system. The system combines various sources and publishes them together with information how these data are stored. The task of the thesis is to create data views that meet the following requirements - they can react to metadata changes, they support multiple output formats and these views can be customized. The application should be easily modifiable and connectable to already existing web systems.
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Methodology and problems of data transformation and determine its importance in the integration of heterogeneous information sources
Bartoš, Ivan ; Papík, Richard (advisor) ; Dvořák, Jan (referee) ; Bureš, Miroslav (referee)
Methodology and issues of data transformation and its information value estimation during the integration of the heterogenous information sources PhDr. Ivan BARTOŠ Abstract This study focuses mainly on the data and information transformation issue. This topic is currently critical in several scientific and commercial areas. Information value, information quality and the quality of the source data differs between the various systems. This is not only due to the different topologies of the information sources but also because of its different understanding and a manner of storing the information describing the entity of the enterprise. Such information systems, respectively database systems in the scope of the thesis, could perform well as the stand alone systems. The issue appears in the moment when such heterogeneous systems are required to be integrated and the information shall be migrated between each other. The thesis is logically divided into four major parts based on these issues. The first part describes the methods that can be used to classify the data quality of the source system (the one to be integrated) from which the information can be extracted. Based on assumption of the common lack of project and system documentation hereby introduced methods can be used for such qualification even when the...
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Datamining from Jabber
Sendler, Jaroslav ; Šebek, Michal (referee) ; Mlích, Jozef (advisor)
This bachelor's thesis deals with the collection and analysis of data from the network for the Jabber instant messaging. There is a client decsribed that collects data and then stores them in a database. The client performs the function of a robot that responds appropriately to the selected questions. Further information is collected for analysis. For this purpose their transformation was first made, that reflects the temporal characteristics of data. It was subsequently used algorithm k-eans of tool RapidMiner. The results are presented by graphical form and using a spreadsheet.
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