04058ntm a22005417a 4500 000175326 CZ-PrVSE 20110620175452.0 m d cr n|||||||||| 110620s2010 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 Nekvapil, Viktor ISIS:50819 dis Using the Ac4ft-Miner procedure in the medical domain [elektronický zdroj] / Viktor Nekvapil 2010 ?? s. : digital, PDF soubor Vedoucí práce: Jan Rauch Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) This bachelor thesis deals with the data mining procedure Ac4ft-Miner, implemented in the LISp-Miner system, which is developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. The aim of this thesis is firstly to describe the procedure in a simple, understandable way. Secondly, the aim is to apply this procedure on the medical data and present examples of use of this procedure. Further aim is to create methodology of use for doctors from the experience obtained. The aims are reached by using a lot of examples, which demonstrate theoretical concepts on concrete data and by the pursuit of the simple visualisation of tasks (analytical questions) solved by the procedure. The output of this thesis is a coherent text with lot of examples separated from the continuous text; so the reader familiar with a particular topic can skip the examples and proceed to the next issue. Further result of this thesis is an outline of the graphical presentation of analytical questions. Both the examples and the graphical presentation will be used further in the SEWEBAR project of which this thesis is one part. The methodology of use of the procedure for doctors is in the form of advices for use of the tool which should contribute to the further research which is needed. This is because of the high complexity of the procedure, which does not allow formulating general conclusions usable in the methodology. Chapter 1 characterizes the overall process of Knowledge Discovery in Databases represented by the CRISP-DM Methodology. Chapter 2 presents theoretical concepts related to Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities of defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on the real medical data set ADAMEK, states methodology and examples of the output. Chapter 6 summarises the experience obtained and formulates the methodology of use of Ac4ft-Miner for doctors. Způsob přístupu: Internet Bakalářská práce (Bc.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2010 Rok obhajoby 2010 action rules association rules SEWEBAR data mining informatika [obor bakal. práce] LISp-Miner (software) ph623384 czenas bakalářské práce fd132403 czenas LISp-Miner (software) eczenas bachelor's theses eczenas Rauch, Jan, 1948- jn20001227021 ths Šimůnek, Milan, 1975- ola2003200941 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 https://isis.vse.cz/zp/23831/podrobnosti VŠKP v InSIS https://isis.vse.cz/zp/23831 Hlavní práce https://isis.vse.cz/zp/23831/posudek/vedouci Hodnocení vedoucího https://isis.vse.cz/zp/23831/posudek/oponent/17547 Oponentura http://isis.vse.cz/zp/80984/podrobnosti dc:identifier NEPOSILAT VSKP 80984 vse23831 110325 md5 80984 04942ccee37791c2c711e4b439418e1b