|
|
Prediction in Projects using Markov Chains
Doležal, Jan ; Buřita, Ladislav (referee) ; Kreslíková, Jitka (referee) ; Lacko, Branislav (advisor)
This thesis is focused on possibilities of a project development prediction and a decision support for managers of those projects, which is an up to date topic in the present time turbulent environment. Project is understood as a stochastic process with discrete states and discrete time in this thesis. This approach could be represented by discrete moments of finding out project state. Project is compared to a finite automaton and Markovs chains are subsequently used. State model of the project based on Earned Value Management method is created in the proposal part of this thesis and there are state transitions probabilities. There are adjustments of the model designed consequently so the model is capable to fit some concrete situation closely. Designed proposals are tested in different situations to prove their value in the experimental part of this work.
|
|
|
Application for Big Data
Blaho, Matúš ; Bartík, Vladimír (referee) ; Hruška, Tomáš (advisor)
This work deals with the description and analysis of the Big Data concept and its processing and use in the process of decision support. Suggested processing is based on the MapReduce concept designed for Big Data processing. The theoretical part of this work is largely about the Hadoop system that implements this concept. Its understanding is a key feature for properly designing applications that run within it. The work also contains design for specific Big Data processing applications. In the implementation part of the thesis is a description of Hadoop system management, description of implementation of MapReduce applications and description of their testing over data sets.
|
|
|
Creation of Database Application and Solutions for Business Intelligence
Městka, Milan ; Kott, Josef (referee) ; Kříž, Jiří (advisor)
Theme of this master’s thesis is design of software support for business intelligence. Design is realized in cooperation with corporation ZZN Pelhřimov a.s. Introduction is focused on theoretical description of business intelligence and datamining and also on development environment in which is project designed. Corporation is characterised also in introduction. Main part contains data collecting and definition of individual modules. In conclusion of this thesis will be several types of analysis from collected data and then according to these analysis, we can draw measures to improve current state of corporation.
|
|
|
Application for Big Data
Blaho, Matúš ; Bartík, Vladimír (referee) ; Hruška, Tomáš (advisor)
This work deals with the description and analysis of the Big Data concept and its processing and use in the process of decision support. Suggested processing is based on the MapReduce concept designed for Big Data processing. The theoretical part of this work is largely about the Hadoop system that implements this concept. Its understanding is a key feature for properly designing applications that run within it. The work also contains design for specific Big Data processing applications. In the implementation part of the thesis is a description of Hadoop system management, description of implementation of MapReduce applications and description of their testing over data sets.
|
|
|
Prediction in Projects using Markov Chains
Doležal, Jan ; Buřita, Ladislav (referee) ; Kreslíková, Jitka (referee) ; Lacko, Branislav (advisor)
This thesis is focused on possibilities of a project development prediction and a decision support for managers of those projects, which is an up to date topic in the present time turbulent environment. Project is understood as a stochastic process with discrete states and discrete time in this thesis. This approach could be represented by discrete moments of finding out project state. Project is compared to a finite automaton and Markovs chains are subsequently used. State model of the project based on Earned Value Management method is created in the proposal part of this thesis and there are state transitions probabilities. There are adjustments of the model designed consequently so the model is capable to fit some concrete situation closely. Designed proposals are tested in different situations to prove their value in the experimental part of this work.
|
|
|
Creation of Database Application and Solutions for Business Intelligence
Městka, Milan ; Kott, Josef (referee) ; Kříž, Jiří (advisor)
Theme of this master’s thesis is design of software support for business intelligence. Design is realized in cooperation with corporation ZZN Pelhřimov a.s. Introduction is focused on theoretical description of business intelligence and datamining and also on development environment in which is project designed. Corporation is characterised also in introduction. Main part contains data collecting and definition of individual modules. In conclusion of this thesis will be several types of analysis from collected data and then according to these analysis, we can draw measures to improve current state of corporation.
|
|
|
A method for selecting a portfolio of tools for online marketing activities and supporting their management
Smutný, Zdeněk ; Doucek, Petr (advisor) ; Stříteský, Václav (referee) ; Novotný, Ota (referee) ; Hynek, Josef (referee)
Online marketing activities play an increasingly important role for organization in connection with the development of internet based technologies and their positive reception by the society. The aim of this dissertation is to design an artefact that would support the decision making of marketing specialists and thus the management of online marketing activities. The starting point is an explorative research among Czech companies, which identifies the issues felt as problematic and the needs of the selected set of organizations. Introduced at the same time is the current state of use of selected tools for online marketing by these organizations, and the situation is compared with worldwide development. The output of this explorative research, the examination of scientific literature, and a critical analysis serve as a basis for designing an own method, Genoma, whose purpose is to support the decision making of marketing specialists, and thereby also the management of marketing activities in internet-mediated environment. This method is presented as Deming (PDCA) cycle, which enables it to be used not only separately, but also as part of other frameworks for the management of marketing activities (e.g. the frameworks PMF, MCPF and RACE, which are presented in the dissertation). The Genoma method uses mainly the genetic algorithm for selecting a suitable portfolio of online marketing tools for a particular campaign. The selection is made on the basis of expected feedback at the level of social interaction, meeting the given marketing targets, and the financial demands of the individual tools. The prerequisite of using this method is a knowledge base that includes the area of sociotechnical interaction, which is based on interpreting phenomena related to the internet-mediated environment and the features of complex networks. Methodically, this dissertation builds on the complementary relationship of the behavioural (social informatics) and the design type of research (design science research). The final assessment of the suitability of the proposed method is done on the basis of a multiple case study, which uses also an own program created in C#, implementing the genetic algorithm used in the Genoma method.
|
|
|
Implementation of a tool for human movement data analysis
Matějka, Martin ; Novotný, Ota (advisor) ; Pour, Jan (referee)
The aim of this thesis is to provide an insight into theoretical and practical aspects of an analytical tool developed by Ondřej Funiok, Vilém Kalus, Tomáš Rosenberger and Martin Matějka at the University of Economics in Prague. The goal was to develop a tool which could be used for an analysis of human movement within a given place (e.g. retail store) and which could leverage traditional customers' data like age, gender or profession in order to enrich outcomes of conducted analysis, as well as provide a new segmentation of these customers based on their movement. Given that, one of the possible scenarios is that marketers would be able to finely-target their campaigns and use the space more effectively. The thesis contains a short introduction to Location Intelligence as a category of systems which the developed tool belongs to. Further a research of existing theses, articles etc., as well as already available products is conducted. Since a documentation of web services' application interface has proved to be an important aspect of the development, a research and comparison of supporting tools follows. Fourth and fifth chapters are of rather practical nature -- the first of them is about an overall design and architecture of the developed tool, while the second one describes the used application interface and its documentation in detail together with the most important aspects of a backend component -- so called ,,GA-Server``.
|
|
|
System model for analysis of applicant decision in project of CzechEkoSystem
Polák, Petr ; Mildeová, Stanislava (advisor) ; Král, Miroslav (referee)
System Dynamics is a powerful approach to understanding the behaviour of complex systems. This thesis is focused on a simulation model, that goes from principles of System Dynamics and the model will solve the problem of insufficient number of applicants that meet a specific set of project requirements, which are defined by the government agency, CzechInvest. The project, CzechEkoSystem, is mainly focused on efficient development of small and medium sized enterprises based on their pioneering business model. The thesis begins by describing the basic theories of System Dynamics that are introduced and elaborated on, within the particular tools of the simulation model problem statement. Then key terms about the CzechEkoSystem project are introduced. In the conclusion, results and recommendations for increasing the portfolio of pioneering small and medium sized enterprises are presented.
|
|
| |
guest ::
