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Classification of electronic documents using cluster analysis
Ševčík, Radim ; Řezanková, Hana (advisor) ; Svátek, Vojtěch (referee)
The current age is characterised by unprecedented information growth, whether it is by amount or complexity. Most of it is available in digital form so we can analyze it using cluster analysis. We have tried to classify the documents from 20 Newsgroups collection in terms of their content only. The aim was to asses available clustering methods in a variety of applications. After the transformation into binary vector representation we performed several experiments and measured the values of entropy, purity and time of execution in application CLUTO. For a small number of clusters the best results offered the direct method (generally hierarchical method), but for more it was the repeated bisection (divisive). Agglomerative method proved not to be suitable. Using simulation we estimated the optimal number of clusters to be 10. For this solution we described in detail features of each cluster using repeated bisection method and i2 criterion function. In the future focus should be set on realisation of binary clustering with advantage of programming languages like Perl or C++. Results of this work might be of interest to web search engine developers and electronic catalogue administrators.
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Analysis of internet visits and internet users
Šíla, Martin ; Řezanková, Hana (advisor) ; Pecáková, Iva (referee)
The diploma thesis concerns in two aspects which are the description of internet users and internet media. I show the ways of measuring visits, which is closely related to the operation of web sites and especially its economic aspect, the advertisement. I specify the indicators in view. I concentrate really carefully on the amount of real users, which is one of the most important indices. I apply the usage of these indices to practical examples. I point to sociodemographic user's profile of particular portals and compare them with other chosen servers. Consequently I determine specific recommendations for the advertisement submitters in the term of targeting their campaign accurately. By using many-variable statistical methods, I try to find out suitable groups of internet users based on their relation to advertisement. I consequently describe these groups of people and determine again certain recommendations.
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Correspondence analysis application in MS Excel program
Ganajová, Michaela ; Řezanková, Hana (advisor) ; Pecáková, Iva (referee)
The aim of the diploma thesis was to create independently an application, automating a correspondence analysis calculation using MS Excel and taking advantage of VBA programming language. The application was then used to analyse Slovak banking sector. The created application is based on macro sets which can be split up to two parts. The first part produces a contingency table and converts it into a format usable in the second part. Then there is executed the Correspondence Analysis calculation itself. Supplement Matrix is being used, that allows to discharge functions from matrix and linear algebra. The application allows to process any matrix dimension. Dialog window offers four normalization types, shortened and also full output and it is possible to display row or column variable categories, eventually both. The analysis subject was to find out which of the products are typical for considered banks and for which clients, divided into age categories, is attractive particular bank and/or product. A starting point is a product usage data matrix at a particular bank. There was made a conclusion, that it is possible to divide banks into more traditional or modern type institutions and also that each bank has a typical product.
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Comparison of simulation programs and their application
Krupa, Martin ; Kuncová, Martina (advisor) ; Řezanková, Hana (referee)
Abstract (eng): This diploma paper compares available software for simulations. These are MATLAB, WITNESS, SIMUL8, SIMPROCESS and CRYSTAL BALL. In the first part, the dynamic simulations are explained, its methodic, purpose, areas of implementation and after that it describes the simulation of Monte Carlo type. These are the basic types of simulations used by programs mentioned in this paper. After a short introduction follows detailed description of the system requirements, user interface and the principles of working with these programs, that contains also a definition of basic function blocks. This paper also describes another important information like price, available licenses and in the attachment the pictures of the programs interface. The next part of my paper is based on analyze of observed articles, which concern this special area of interest. I try to describe the usage of this software on a market, area of application or eventually a type of simulation. The information from data assimilation are ordered in transparent tables and visualized on a graphs and diagrams. At the end is the final summary, which I believe will be beneficiary for the readers.
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Using of VBA language in statistical analysis
Trávníček, Lukáš ; Řezanková, Hana (advisor) ; Vrabec, Michal (referee)
The main thesis aim is to introduce possibilities of MS Excel in data analysis and to point out to some strengths and weaknesses of MS Excel in data processing. I pay attention to tools which MS Excel contains by default as well as to statistical products which are not normally part of MS Excel. These products can be run in MS Excel environment as statistical add-ins for MS Excel. In the first case I focus on MS Excel tools as statistical functions, graphic analysis and statistical methods, in the other case on statistical products as XLStatistics, Analyse it, WinSTAT. In connection with the first mentioned statistical product I show some examples how to analyze and work with real data samples in product XLStatistics. The aim of this part is to show other way how to analyze data then in the others products or MS Excel itself. At the end of my thesis I programmed my own product Regxcel with the help of VBA language as the main contribution of my entire work. Product Regxcel provides solution in regression analysis for the six most common types of regression function. The main aim of this part is to point out to other possibility how to analyze data and solve some problems which users can face in regression analysis in MS Excel. I also try to show VBA language as big help in data processing in MS Excel. At the very end I presented all possibilities of Regxcel on real data sample. The product itself is part of attached CD
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Zjišťování skupin podobných proměnných v systémech SAS a SPSS
Marková, Monika ; Řezanková, Hana (advisor) ; Húsek, Dušan (referee)
My diploma thesis focuses on the comparison of possibilities of the statistical software SAS and SPSS in the area of the factor and cluster analysis and the multidimensional scaling. They deal with the methods for identifying groups of the similar statistical values (variables). The ascertained relations among the variables can serve to decrease the proportion vectors of the variables, which describe the individual monitored objects (statistical units), which helps us to apply other various methods, for example the regression or discriminant analysis. By one of the ways for finding the similarity of variables in the cluster analysis or the multidimensional scaling is searching for their relations. Whereas the base of the factor analysis is the formulation of the relation between two variables by means of the covariances, eventually Pearson correlation coefficient, it is possible to use also coefficients of correlation for the cluster analysis and the multidimensional scaling, in some case other measures. The thesis describes mainly the command syntax of the procedures implemented in SAS and SPSS. The meaning of the individual parametres and the partial specifications of each command are explained. The results gained by various types of analyses are compared on the basis of the real dataset. The possibilities of the statistical software SAS and SPSS are evaluated in the conclusion and it is referred to their advantages or disadvantages. The attention is also paid, for example, to the form of the input dataset, to the quaility of outputs or to the partial methods.
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Aplikace shlukové analýzy v modelech životního pojištení
Peřina, Milan ; Řezanková, Hana (advisor) ; Húsek, Dušan (referee)
Vzhledem ke vzrůstajícím požadavkům na přesnost vyhodnocování fair value v oblasti životního pojištění je v současné době potřebné nalézt vhodnou metodu, která umožňuje rozdělit smlouvy do shluků. Shluky definované pro tento účel nemají rozumnou interpretaci a i v jiných ohledech se liší od ?klasických? shluků, nicméně některé závěry zde publikované lze jistě zobecnit. V této práci jsou po teoretické stránce popsány metody k-průměrů a metoda SOM, založená na umělých neuronových sítích. V rámci diplomové práce byly navrženy vlastní modifikace těchto postupů. V další části jsou tyto metody kvantitativně zhodnoceny podle klasického hlediska shlukové analýzy a rovněž podle vhodnosti k modelování fair value. Bude ukázáno, že lze celkem úspěšně pomocí vlastních modifikací získat shluky, jejichž vnitroskupinová variabilita je menší, než je tomu u ostatních uvažovaných metod, a jejich fair value se neliší příliš od fair value původních smluv. Na přiloženém CD je uloženo několik zdrojových kódů v Matlabu/Scilabu, které byly vyvinuty speciálně pro účely této práce, a rovněž několik souborů s výstupy z těchto metod.
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Statistický software pro analýzu časových řad
Sianchuk, Raman ; Arltová, Markéta (advisor) ; Řezanková, Hana (referee)
Vzhledem k existenci obrovského množství statistických programů vzniká docela logická otázka: který z nich je lepší. Samozřejmě tady záleží na konkrétní zkoumané úloze. V této práci se budu věnovat analýze časových řad. Vzhledem k tomu, že na trhu jsou jak placené tak i neplacené programy bude třeba se podívat na několik představitelů obou skupin. Závěrem své práce ohodnotím tyto softwary podle několika kritérii. Posuzovat budu z hlediska potřeb studenta Vysoké Školy Ekonomické. Studenti VŠE tady mají možnost pracovat především se Statgraphicsem a GiveWinem, další dva softwary Matrixer a Gretl jsou zprostředkovány jako freeware a jsou dostupné zdarma na internetu, dále budu porovnávat i placené programy EViews a Time Series Modelling, s cílem posoudit jestli se vyplatí koupit licenci na tyto softwary nebo je lepší použít školní program anebo bude lepší stáhnout freeware. Rozbor programu provedu pomocí tři aspektů: obecný popis programů, příkladu ARIMA a příkladu SARIMA.
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New trends in employee care
Uchytilová, Iveta ; Formánková, Dana (advisor) ; Řezanková, Hana (referee)
Práce se zabývá péčí o zaměstnance a zejména o moderní trendy v této oblasti. Teoretická část popisuje jedntlivé formy péče o zaměstnance a jejich trendy. Část praktická analyzuje stávající situaci ve firmě LGECZ. Pomocí statistických metod - analýza kontingenčních tabulek a shluková analýza - zjišťuje spokojenost a preference zaměstnanců. Na základě těchto podkladů je navržen nový systém zaměstnaneckých výhod. Systém je zároveň optimalizován z nákladového hlediska.
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Klasifikace poslanců podle hlasování k jednotlivých zákonům
Chytka, David ; Vrabec, Michal (advisor) ; Řezanková, Hana (referee)
Tato bakalářská práce nabízí analýzu srovnání hlasování stran jako celků nebo jednotlivých poslanců. Analýza je zaměřena na zkoumání těsnosti hlasování pomocí měr kontingence. Klade si za cíl nalézt odpovědi na vyřčené hypotézy. Nejprve zkoumá jednotnost stran při hlasování, poté loajalitu poslanců a na závěr jednotlivé párové shody stran při hlasování, ať už v rámci koalice nebo celkově.
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