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Comparison of Technologies for Object-Relational Mapping
Fatrdla, Pavel ; Burget, Radek (referee) ; Zendulka, Jaroslav (advisor)
Diploma thesis deals with the contemporary object-relational mapping (ORM) technologies for Java. It briefly describes also competing technologies for persisting objects in files, object and object-relational databases. However main part of the thesis is the persistence of objects in relational databases using ORM frameworks. The work begins with studying general methods and issues, that these frameworks have to solve. Next, it chooses and deeply describes some ORM frameworks. They are later demonstrated on the demo application. In the following part there is a description of the problems I have been facing during the implementation of the persistence using these frameworks. Finally, there is an evaluation and a comparison of these frameworks.
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Comparison of Classification Methods
Dočekal, Martin ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
This thesis deals with a comparison of classification methods. At first, these classification methods based on machine learning are described, then a classifier comparison system is designed and implemented. This thesis also describes some classification tasks and datasets on which the designed system will be tested. The evaluation of classification tasks is done according to standard metrics. In this thesis is presented design and implementation of a classifier that is based on the principle of evolutionary algorithms.
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Mining Multi-Level Sequential Patterns
Šebek, Michal ; Platoš, Jan (referee) ; Popelínský, Lubomír (referee) ; Zendulka, Jaroslav (advisor)
Dolování sekvenčních vzorů je důležitá oblast získávání znalostí z databází. Stále více průmyslových a obchodních aplikací uchovává data mající povahu sekvencí, kdy je dáno pořadí jednotlivých transakcí. Toho může být využito například při analýze po sobě jdoucích nákupů zákazníků. Tato práce se zabývá využitím hierarchického uspořádání položek při dolování sekvenčních vzorů. V rámci práce jsou řešeny dvě základní oblasti - dolování víceúrovňových sekvenčních vzorů s křížením a bez křížení úrovní hierarchií. Dolovací úlohy pro obě oblasti jsou v práci formalizovány a následně navrženy algoritmy hGSP a MLSP pro jejich řešení. Experimentálně bylo ověřeno, že především algoritmus MLSP dosahuje výborných výkonnostních vlastností a stability. Význam nově získaných vzorů je ukázán na dolování reálných produkčních dat.
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Data Mining System in Oracle
Krásný, Michal ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
This MSc Project deals with the system of Knowledge Discovery in Databases. It is a client application which uses the Oracle Data Mining Server's 10.g Release 2 (10.2) services. The application is implemented in Java, the graphical user interface is built on the NetBeans Rich Client Platform. The theoretical part introduces the Knowledge Discovery in Databases, while the practical part describes functionality of the original system, it's deficiencies, documents sollutions of theese deficiencies and there are proposed improvements for further development. The goal of this project is to modify the system to increase the application usability.
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Web Application for Virtual Training
Vystavěl, Jaroslav ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
This thesis is concerned with the development of web application and mobile application. The main goal of the web application is creating a fitness plan based on the information obtained from users. The goal of the mobile app is to alert users of fitness plan-related notices. The content of this technical report is the description of the application requirements, its design and description of the implementation. The work was implemented on the client side using HTML, CSS and JavaScript technologies using the CanvasJS framework. The server side consists of PHP scripts. The data is stored in the MySQL database. The mobile app is built on Android platform.
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E-Shop
Padělek, Zbyněk ; Kunc, Michael (referee) ; Zendulka, Jaroslav (advisor)
This bachelor work is concentrated on building an electronic shop with the use of Macromedia Flash technology. The aim was to build a system according to the purchasers request of the electronic shop. First this work explains the term of electronic shop and then the medium used in the develop. Then it is followed by the description of particular requests of the system and their analysis. The work continues describing the technologies used in building the system. The final part is concentrated on implementation of the system as a web application with the use of Flash, XML, and ColdFusion.
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Data Mining in Data Stream
Sýkora, Petr ; Chmelař, Petr (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with the data mining in data stream which represents fast developing area of information technology. The text describes common principles of data mining, explains what data stream is and shows methods for its preprocessing and algorithms for following data mining. The special attention is given to the VFDT and the CVDT algorithm. The next mentioned are the spatiotemporal data and related data mining. The second part describes the design and implementation of the application for classification over spatiotemporal data stream represented by road traffic data and following prediction of spatiotemporal events (traffic-jams). The classification is performed by the VFDT and CVFDT algorithm. The application has been tested on the data set obtained by the simulation tool SUMO.
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Moving Objects Indexing
Vetešník, Jiří ; Chmelař, Petr (referee) ; Zendulka, Jaroslav (advisor)
This work is aimed for proposing acceptable indexing of moving objects. With the enlargement of mobile computing it is needed to manage large sets of spatiotemporal data. We introduce the problem of spatiotemporal data and basic general approaches of indexing these data. Further, we show support of spatial data in Oracle. The movement is typically represented as trajectory in two dimensional space with temporal component in third dimension. The thesis contains experiments performed in database Oracle on artificially generate data.
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Administrator Tools for Oracle 11g
Fröml, Vojtěch ; Ráb, Jaroslav (referee) ; Zendulka, Jaroslav (advisor)
This bachelor thesis presents administration concepts of Oracle Database 11g. It provides overview of administrative, monitoring and tuning tools and technologies. Options in the area of tuning SQL statements are examined in greater detail. Furthemore it describes design and implementation of example application SQLTuningTool. This application creates database SQL workload and presents some of the database tools for monitoring and tuning SQL statements. The end section discusses results and proposes options for further continuation of this project.
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Data Independency of the FIT-Miner Data Mining System
Novák, Ondřej ; Šebek, Michal (referee) ; Zendulka, Jaroslav (advisor)
System for data mining Fit-Miner is now dependant on only one specific DBMS. This master’s thesis deals with analysis of implementation that works with database, modules and functions for data mining. Next it shows the set of changes which will allow FIT-Miner to work with another DBMS. And finally, a description of the implementation of these changes.
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