"RIV/00216275:25210/08:00008063" . . . . "Vyu\u017Eit\u00ED genetick\u00FDch algoritm\u016F pro p\u011Bstov\u00E1n\u00ED rozhodovac\u00EDch strom\u016F" . "8"^^ . "Sborn\u00EDk p\u0159\u00EDsp\u011Bvk\u016F z VIII. mezin\u00E1rodn\u00ED konference student\u016F doktorsk\u00FDch studijn\u00EDch program\u016F IMEA 2008" . . "[C22790732BC7]" . . "Data mining (DM) je pojem, kter\u00FD zast\u0159e\u0161uje pestrou paletu nejr\u016Fzn\u011Bj\u0161\u00EDch metod pou\u017E\u00EDvan\u00FDch v cel\u00E9 \u0159ad\u011B odv\u011Btv\u00ED. Nej\u010Dast\u011Bji se ch\u00E1pe jako sou\u010D\u00E1st %22dob\u00FDv\u00E1n\u00ED znalost\u00ED z datab\u00E1z\u00ED%22 (Knowledge Discovery in Databases, KDD) a to jako aplikaci vybran\u00E9 analytick\u00E9 metody (\u010Dasto kombinaci metod r\u016Fzn\u00FDch) pro objeven\u00ED zaj\u00EDmav\u00FDch vztah\u016F, struktur \u010Di vazeb v datech. Obvykl\u00FDm probl\u00E9mem v dataminingu je naj\u00EDt odpov\u00EDdaj\u00EDc\u00ED klasifika\u010Dn\u00ED model pro dan\u00FD datov\u00FD soubor, nebo-li model, kter\u00FD dok\u00E1\u017Ee rozd\u011Blit objekty souboru do n\u011Bkolika p\u0159edem dan\u00FDch t\u0159\u00EDd. Obl\u00EDben\u00FDm typem klasifik\u00E1toru je klasifika\u010Dn\u00ED strom - rozhodovac\u00ED strom (decision tree - DT), definuj\u00EDc\u00ED klasifika\u010Dn\u00ED funkci. Genetick\u00E9 algoritmy (GA) jsou stochastick\u00E9 optimaliza\u010Dn\u00ED algoritmy, kter\u00E9 vych\u00E1zej\u00ED z princip\u016F genetiky a p\u0159irozen\u00E9ho v\u00FDb\u011Bru. Populace se skl\u00E1d\u00E1 z chromozom\u016F, kter\u00E9 reprezentuj\u00ED jednotliv\u00E1 \u0159e\u0161en\u00ED probl\u00E9mu. Na z\u00E1klad\u011B fitness funkce jsou n\u00E1hodn\u011B vybr\u00E1ni jedinci a z nich je pomoc\u00ED z\u00E1kladn\u00EDch genetick\u00FDch oper\u00E1tor\u016F tvo\u0159ena populace nov\u00E1, ve kter\u00E9"@cs . . "Myslivec, Jaroslav" . "Usage of Genetic Algorithms in Creating of Decision Trees"@en . . . . . "1"^^ . "Data mining (DM) je pojem, kter\u00FD zast\u0159e\u0161uje pestrou paletu nejr\u016Fzn\u011Bj\u0161\u00EDch metod pou\u017E\u00EDvan\u00FDch v cel\u00E9 \u0159ad\u011B odv\u011Btv\u00ED. Nej\u010Dast\u011Bji se ch\u00E1pe jako sou\u010D\u00E1st %22dob\u00FDv\u00E1n\u00ED znalost\u00ED z datab\u00E1z\u00ED%22 (Knowledge Discovery in Databases, KDD) a to jako aplikaci vybran\u00E9 analytick\u00E9 metody (\u010Dasto kombinaci metod r\u016Fzn\u00FDch) pro objeven\u00ED zaj\u00EDmav\u00FDch vztah\u016F, struktur \u010Di vazeb v datech. Obvykl\u00FDm probl\u00E9mem v dataminingu je naj\u00EDt odpov\u00EDdaj\u00EDc\u00ED klasifika\u010Dn\u00ED model pro dan\u00FD datov\u00FD soubor, nebo-li model, kter\u00FD dok\u00E1\u017Ee rozd\u011Blit objekty souboru do n\u011Bkolika p\u0159edem dan\u00FDch t\u0159\u00EDd. Obl\u00EDben\u00FDm typem klasifik\u00E1toru je klasifika\u010Dn\u00ED strom - rozhodovac\u00ED strom (decision tree - DT), definuj\u00EDc\u00ED klasifika\u010Dn\u00ED funkci. Genetick\u00E9 algoritmy (GA) jsou stochastick\u00E9 optimaliza\u010Dn\u00ED algoritmy, kter\u00E9 vych\u00E1zej\u00ED z princip\u016F genetiky a p\u0159irozen\u00E9ho v\u00FDb\u011Bru. Populace se skl\u00E1d\u00E1 z chromozom\u016F, kter\u00E9 reprezentuj\u00ED jednotliv\u00E1 \u0159e\u0161en\u00ED probl\u00E9mu. Na z\u00E1klad\u011B fitness funkce jsou n\u00E1hodn\u011B vybr\u00E1ni jedinci a z nich je pomoc\u00ED z\u00E1kladn\u00EDch genetick\u00FDch oper\u00E1tor\u016F tvo\u0159ena populace nov\u00E1, ve kter\u00E9" . "Vyu\u017Eit\u00ED genetick\u00FDch algoritm\u016F pro p\u011Bstov\u00E1n\u00ED rozhodovac\u00EDch strom\u016F"@cs . "1"^^ . "data mining; classification; decision trees; genetic algorithms"@en . "Usage of Genetic Algorithms in Creating of Decision Trees"@en . "2008-05-16+02:00"^^ . "Vyu\u017Eit\u00ED genetick\u00FDch algoritm\u016F pro p\u011Bstov\u00E1n\u00ED rozhodovac\u00EDch strom\u016F" . . . "Liberec" . "Liberec" . "Technick\u00E1 univerzita v Liberci" . "Data mining (DM) is a term, which cover a wide range of all sorts of methods used in a number of segments. It is most often understand as a part of knowledge discovery in databases (KDD), as an application of chosen analytical method (often combination of several different methods) by reason of discovery of interesting relations or structures in data. The usual problem in data mining is to find corresponding classification model for given data file, or a model, which can separate objects of file into a few predefined classes. Popular type of classifier is a classification tree - a decision tree (DT), which defines classification function. Genetic algorithms (GA) are stochastic optimization algorithms, which results from axioms of genetics and natural selection. Population consists of chromosomes, which represents single solutions of a problem. The individuals are randomly selected based on a fitness function and the new generation is created from them using basic genetic operators. The optimal solutio"@en . "RIV/00216275:25210/08:00008063!RIV09-MSM-25210___" . "N" . "404611" . . "25210" . . "Vyu\u017Eit\u00ED genetick\u00FDch algoritm\u016F pro p\u011Bstov\u00E1n\u00ED rozhodovac\u00EDch strom\u016F"@cs . . . "978-80-7372-335-4" .