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Complex Analysis of Website www.profienglish.cz
Špála, Ondřej ; Vojíř, Stanislav (advisor) ; Chudán, David (referee)
This bachelor´s thesis deals with a complex analysis of a little private language school Profi English on an address www.profienglish.cz and an implementation of changes resulting from this analysis. The aim of the work is to improve the technical state of the web, carry out the essential SEO optimization and improve functionality of the sites by a responsive design. These goals were reached by an analysis of the web using several online available applications and tools, the following revision and conversion of the code of the web. This way work is beneficial mainly for Profi English, its web and its visitors. Nevertheless, it can be also used as a guideline for other readers, who consider improving their websites or authors of modifications of similar webs. Fundamental attributes of a quality web presentation, such as accessibility or applicability, are shortly introduced in an opening part. It is also explained how these aspects should look like on web. Next there are ways of analysing a website and what tools are suitable to be used. In practical part, there is the analysis of the web www.profienglish.cz. The outcome of which is a list of recommended changes listed in an order according to their priority. In the last part implementation of the crucial innovations of web and responsive design is being described.
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Analysis of university pages on Facebook
Salnikov, Alexey ; Chudán, David (advisor) ; Pavlíček, Antonín (referee)
This bachelor thesis is made up from four parts. The first part describes the current state of the internet population of Czech Republic: the number of Internet users in different age categories, their education, what part of the Internet population is occupied by Facebook users. The main purpose of the second part is to show what social networking services are the most popular for Czech population. In the third part, there is a detailed instruction on two tools - Netvizz and Gephi, which are used to analyze facebook pages, groups, events and places. The last part is a practical part, it is focused on the identification of official state university pages on Facebook and the subsequent analysis of these pages by using the tools that were defined in the third part of the thesis.
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Visualization of data mining results through BI tools
Fiřtík, Zdeněk ; Chudán, David (advisor) ; Rauch, Jan (referee)
The topis of this thesis is an attempt to visualize the data of the minig data through the tools of business intelligence. The paper moves from a detailed characterization of basic concepts, methodologies and procedures, which are an integral part of the data mining process and subsequent visualization. The thesis is meant for those who are interested in data mining and BI tools, and can offer motives to consider whether these tools will be suitable for their use.
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OLAP Recommender
Koukal, Bohuslav ; Chudán, David (advisor) ; Vojíř, Stanislav (referee)
Manual data exploration in data cubes and searching for potentially interesting and useful information starts to be time-consuming and ineffective from certain volume of the data. In my thesis, I designed, implemented and tested a system, automating the data cube exploration and offering potentially interesting views on OLAP data to the end user. The system is based on integration of two data analytics methods - OLAP analysis data visualisation and data mining, represented by GUHA association rules mining. Another contribution of my work is a research of possibilities how to solve differences between OLAP analysis and association rule mining. Implemented solutions of the differences include data discretization, dimensions commensurability, design of automatic data mining task algorithm based on the data structure and mapping definition between mined association rules and corresponding OLAP visualisation. The system was tested with real retail sales data and with EU structural funds data. The experiments proved that complementary usage of the association rule mining together with OLAP analysis identifies relationships in the data with higher success rate than the isolated use of both techniques.
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Using of data mining techniques and principles in the Business Intelligence solution
Štefke, Martin ; Chudán, David (advisor) ; Novotný, Ota (referee)
This thesis is focused on using data mining in Business Intelligence solution. The goal of this thesis is implementation of data mining in Business Intelligence solution. Integration of these technologies is posible to obtain synergic effect. The thesis is made in context of academic project Farfalia and results are used in the project. The goal of project is to create component for a new form of reporting and that is using data mining as a tool for data analysis. The benefit of the implementation is automatic browsing of multidimensional data cube / multidimensional data model to find interesting KPI trends, interesting patterns or anomalies in the data. Tasks of data mining are realized by analytic models that are created in this thesis. These models are prepared in R language. Developed scripts of models are universal and after their adjustment by constraints of specific project are useable in any BI solution.
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Using system LISp-Miner for large real data
Hrnčíř, Jan ; Rauch, Jan (advisor) ; Chudán, David (referee)
This dissertation thesis describes an advanced method of knowledge discovery in databases (KDD), implemented in system LISp-Miner. The goal is to show the possibilities of coordinated use of analytical tools and complex procedures GUHA in this system. The thesis uses methodology CRISP-DM, which is firstly described and work is proceeded using this methodology in the following sections. The author firstly introduces readers domain area and then the data itself, which are processed to the analysis needs. Analytical questions that are answered at, are drawn from the literature, which is focused on domain area. The work should be used as a guide to LISp-Miner users, using analytical tools and procedures GUHA is therefore described the easiest way to understand.
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Data comparability in knowledge discovery in databases
Horáková, Linda ; Chudán, David (advisor) ; Svátek, Vojtěch (referee)
The master thesis is focused on analysis of data comparability and commensurability in datasets, which are used for obtaining knowledge using methods of data mining. Data comparability is one of aspects of data quality, which is crucial for correct and applicable results from data mining tasks. The aim of the theoretical part of the thesis is to briefly describe the field of knowledqe discovery and define specifics of mining of aggregated data. Moreover, the terms of comparability and commensurability is discussed. The main part is focused on process of knowledge discovery. These findings are applied in practical part of the thesis. The main goal of this part is to define general methodology, which can be used for discovery of potential problems of data comparability in analyzed data. This methodology is based on analysis of real dataset containing daily sales of products. In conclusion, the methodology is applied on data from the field of public budgets.
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Problems with seraching information on the Internet
Kmoníčková, Adéla ; Sklenák, Vilém (advisor) ; Chudán, David (referee)
This bachelor thesis deals with problems while searching for information on the Internet. The goal of this thesis is to increase the knowledge of underused ways of searching as well as to cover the history of the searching and analysis of user´s behaviour. The theoretical part is devoted to the history of the Internet and Internet search. Subsequently there are mentioned the different types of Internet search engines with specific advantages and disadvantages. The last theoretical chapter shows the ways how to facilitate the discovery and increase its relevance. The practical part of my thesis is based on survey evaluation relating to search behaviour of the Internet users. Second chapter of this part describes the development of user search behaviour on the Internet using the surveys from 2010 to 2016.
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Datamining on publicly accessible data
Pangrác, Jiří ; Rauch, Jan (advisor) ; Chudán, David (referee)
This bachelor thesis deals with the datamining methods on publicly accessible data. Data mining is a technique of mining potentially interesting relations from data. Analysis is carried out on data provided by Česká obchodní inspekce, the czech office for trade inspection, which are accessible to public. I am trying to find possible answers for some analytical questions asked. For the analysis itself, LISp-Miner system was used focusing on 4ft-Miner and CF-Miner procedures. Besides the actual analysis, this thesis includes a brief description of LISp-Miner system and datamining generally. The main goal of this work is presentation of the results for their possible practical use.
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Creation of an interactive Help for web application EesyMiner
Hanišák, Petr ; Vojíř, Stanislav (advisor) ; Chudán, David (referee)
The aim of this work is to create an interactive Help system for a web interface called EasyMiner which is used for mining association rules from databases. The research of existing types of software Help contributed to the solution of the problem and brought perspective on what solutions of Help are suitable for different kinds of software. Furthermore, there was made an analysis of EasyMiner which is focused on its functioning and its current state of user assistance. The analysis also addresses specific areas and situations for which help is most needed. The practical part deals with the design and subsequent implementation of the Help system. Under the design part it focuses on selection of appropriate technologies and the way it will be implemented in the EasyMiner system including the form of its presentation. This is followed by a description of the actual implementation of the designed Help system in terms of code and user interface. The result is a Help system based on web technologies, which is implemented directly in the user interface of EasyMiner. The main benefit of this Help system is helping inexperienced users and students, who use the application in teaching, with orientation in its environment.
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