|
|
Classes of SD4ft-rules
Kodym, Jan ; Rauch, Jan (advisor) ; Holeňa, Martin (referee)
There are some classes of SD4ft-patterns defined in this work. SD4ft-patterns are the patterns which the GUHA procedure SD4ft-Miner deals with. The aim of this work was to define the classes of SD4ft-patterns, which have similar properties like the classes of association rules; in particular to find the criteria of correctness of deduction rules and data mining in databases, which contain an uncomplete information (NULL values). The logical calculi such that its formulae correspond to SD4ft-patterns and principles of work with uncomplete information are defined in this paper. Our effort was to utilize the existing knowledge of association rules (also called 4ft-patterns) to study SD4ft-patterns. Some potentially useful SD4ft-quantifiers based on useful 4ft-quantifiers are defined. The investigated classes of SD4ft-patterns were designed, so that they contain SD4ft-patterns based on these useful SD4ft-quantifiers.
|
|
|
Relational GUHA procedures
Kuzmin, Alexander ; Rauch, Jan (advisor) ; Ralbovský, Martin (referee)
The thesis belongs to "implementation category". The goal of this thesis is to design and implement relational extensions of the selected GUHA procedures that are implemented in LISp-Miner system. 4ft-Miner and SD4ft-Miner have been selected for the implementation of relational extensions. There have also been impemented several methods for attribute transformation. Procedures have been implemented in the Ferda Dataminer environment.
|
|
|
Procedure SDKL-Miner for data mining
Tegze, Miron ; Rauch, Jan (advisor) ; Lín, Václav (referee)
A new data mining GUHA procedure SDKL-Miner is presented which extends current data mining system LISp-Miner developed on the VŠE Praha. The procedure mines for various patterns based on evaluation of two two-dimensional contingency tables. A simple comparing quantifier is implemented. Tests and new results for this quantifier are presented together with set of examples of it's use. New directions of future development are proposed. The use of statistical dependency tests and the use of both vector and matrix majorization are analyzed in more details. The procedure is a result of continued development of the academic LISp-Miner system for knowledge discovery and data mining.
|
|
|
User support 4ft-Miner procedure for data mining
Kupka, Daniel ; Rauch, Jan (advisor) ; Ralbovský, Martin (referee)
Up to now the file of knowledges with 4ft-Miner procedure was concerned only in the heads of data mining analysts. So, it was usefull, pursuant many analyses, to collect advices and experiences for data mining. This file of advices is also a part of this work. Furthermore, theoretical findings about using applicable 4ft-quantifiers according to practical situation are presented. This work also contains proposal of two new 4ft-quantifiers - above negation quantifier and pairing quantifier. For ASSOC-procedures users web application for collecting, editing advices, experiences and background knowledges is discribed and implemented. Benefit of this application is also in structuralization of inserted informations. The work also contains common design and the description of implementation of the tool for advices creation in Ferda DataMiner environement. Here, proceeding from possibilities ordered by their priority can be choosen. Informations provided by this tool are not only static, but they react on results of present and last analyses.
|
|
|
Local and global analytical reports on results of data mining
Reischig, Zdeněk ; Rauch, Jan (advisor) ; Kliegr, Tomáš (referee)
Title: Local and global analytical reports on results of data mining Author: Zdeněk Reischig Department: Department of Software Engineering Supervisor: doc. RNDr. Jan Rauch, CSc. Supervisor's e-mail address: rauch@vse.cz Abstract: Thesis focuses on automatized support of local analytical reports creation, utilization of these reports as data sources for global analytical questions and creation of global analytical reports. In the thesis are suggested methods for comparison of rules. These methods are suitable for solving global analytical questions and can also help with composing of local analytical reports. Thesis also describes different kinds of background knowledge. One of them can be used for elimination of uninteresting rules or for finding data matrices with unusual relations. Other is necessary for solving global analytical questions, when rules are created over data matrices describing the same properties with different measures etc. Another important part of the thesis lies on providing a XML structure template for saving outputs of global analysis. It is also possible to use this XML structure for automatized generation of global analytical reports. Last part of the thesis is based on case study which shows how to use the guidelines and methods suggested in previous chapters. Case study...
|
|
| |
|
|
Uživatelsky orientovaný jazyk pro řešení úloh DZD
Kováč, Michal ; Rauch, Jan (advisor) ; Mrázová, Iveta (referee)
The thesis discusses a new visual functional programming language and its use for data mining. The language is called Ferda and forms an integral part of the Ferda system, which is an application that has been created for data mining with the GUHA method. Functions of the language are represented by boxes. The source code is written as a connection of boxes; source files are project files of the Ferda system. The thesis describes the status of the Ferda system before this work from the point of view of the visual programming and describes possible enhancements to source files, then it presents a new basic set of boxes for the Ferda language and proposes other possible extensions of the language. Some of these proposals have been implemented as a part of this thesis. The last part includes examples of the use of the new language for data mining. One of these has also been implemented as a part of this thesis.
|
|
|
Essays on Migration and Trade
Konečný, Tomáš ; Dušek, Libor (advisor) ; Rauch, James (referee) ; Girma, Sourafel (referee)
The unifying theme of my dissertation is access to foreign markets, be it through social networks (immigration), or independent NGO-driven initiatives (Fair Trade). In the first paper, "Immigrant Networks, Trade Creation, and Trade Diversion", I derive a simple gravity model with matching and use data on the foreign-born population located in 19 OECD-member countries to estimate the impact of immigrant links on trade. The relative impact on trade of immigrant networks declines with the GDP of source country and is generally smaller than estimates from preceding studies. The theoretical framework explicitly models forgone bilateral trade and shifts in trade flows due to immigrant links. There is some empirical evidence that immigrant networks change trade flows between countries. The net effect on total trade of a 10-percent increase in the overall immigrant stock varies between -0.12 and 1.18 percent for host countries and -6.99 and 2.58 percent for source countries in the sample. The second essay entitled "Expatriates and Trade" evaluates the contribution to bilateral trade flows of expatriates from the OECD economies living in less developed countries. Similarly to the results of the existing research that focused on immigrants moving in the opposite direction, I find that the expatriates promote trade...
|
|
|
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.
|
|
|
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.
|
guest ::
RSS feed.