. . . "554135" . . "Anachronick\u00E9 atributy a dob\u00FDv\u00E1n\u00ED znalost\u00ED"@cs . "3"^^ . "Ostrava" . . "Znalosti 2004" . "Anachronic attributes and data mining"@en . "3"^^ . . "Brno" . . "RIV/68407700:21230/04:03096100!RIV/2005/MSM/212305/N" . . "Anachronic attributes and data mining"@en . "80-248-0456-5" . . "8"^^ . "[5F633AF77D76]" . . "Anachronick\u00E9 atributy a dob\u00FDv\u00E1n\u00ED znalost\u00ED" . "Anachronick\u00E9 atributy a dob\u00FDv\u00E1n\u00ED znalost\u00ED" . "P\u0159i zpracov\u00E1n\u00ED l\u00E9ka\u0159sk\u00FDch dat z\u00EDskan\u00FDch dlouhodob\u00FDm sledov\u00E1n\u00EDm pacient\u016F se \u010Dasto setk\u00E1v\u00E1me s t\u00EDm, \u017Ee se rozsah dat pro jednotliv\u00E9 pacienty v\u00FDrazn\u011B li\u0161\u00ED. Data o sledovan\u00E9m souboru jsou pak nejednotn\u00E1, p\u0159i\u010Dem\u017E za\u0159azen\u00ED pacienta do c\u00EDlov\u00E9 t\u0159\u00EDdy m\u016F\u017Ee p\u0159\u00EDmo souviset s po\u010Dtem dostupn\u00FDch m\u011B\u0159en\u00ED o tomto pacientovi. Ov\u0161em u t\u00E9to hodnoty je nebezpe\u010D\u00ED, \u017Ee jde o anachronick\u00FD atribut a nelze se o ni op\u00EDrat p\u0159i konstrukci libovoln\u00E9ho modelu sledovan\u00FDch dat. P\u0159\u00EDsp\u011Bvek navrhuje mo\u017En\u00FD postup, jak p\u0159edzpracovat v\u00FDchoz\u00ED soubor dat tak, aby byl tento z\u00E1sadn\u00ED probl\u00E9m odstran\u011Bn. Navr\u017Een\u00E1 metoda je ilustrov\u00E1na na p\u0159\u00EDpadu dat ze studie STULONG" . . . "The paper is concerned with mining data collected from a number of objects during repeated control measurements all of which are tagged by the corresponding time. No attribute-valued machine learning algorithm can be applied directly on such data provided that the number of controls is not fixed but if it varies. The available data have to be transformed and preprocessed in such a way that uniform type of information is obtained about all the considered objects. This can be achieved e.g., by aggregation. But this process can bring in anachronictic variables, i.e., variables containing information which is not actually available in the data when a prediction is needed. The paper suggests a method how to preprocess considered type of data without falling into the trap of introducing anachronistic attributes. The method is illustrated on a case study based on STULONG data."@en . "Anachronic attributes; Data preprocessing; Time series"@en . "Anachronick\u00E9 atributy a dob\u00FDv\u00E1n\u00ED znalost\u00ED"@cs . "P\u0159i zpracov\u00E1n\u00ED l\u00E9ka\u0159sk\u00FDch dat z\u00EDskan\u00FDch dlouhodob\u00FDm sledov\u00E1n\u00EDm pacient\u016F se \u010Dasto setk\u00E1v\u00E1me s t\u00EDm, \u017Ee se rozsah dat pro jednotliv\u00E9 pacienty v\u00FDrazn\u011B li\u0161\u00ED. Data o sledovan\u00E9m souboru jsou pak nejednotn\u00E1, p\u0159i\u010Dem\u017E za\u0159azen\u00ED pacienta do c\u00EDlov\u00E9 t\u0159\u00EDdy m\u016F\u017Ee p\u0159\u00EDmo souviset s po\u010Dtem dostupn\u00FDch m\u011B\u0159en\u00ED o tomto pacientovi. Ov\u0161em u t\u00E9to hodnoty je nebezpe\u010D\u00ED, \u017Ee jde o anachronick\u00FD atribut a nelze se o ni op\u00EDrat p\u0159i konstrukci libovoln\u00E9ho modelu sledovan\u00FDch dat. P\u0159\u00EDsp\u011Bvek navrhuje mo\u017En\u00FD postup, jak p\u0159edzpracovat v\u00FDchoz\u00ED soubor dat tak, aby byl tento z\u00E1sadn\u00ED probl\u00E9m odstran\u011Bn. Navr\u017Een\u00E1 metoda je ilustrov\u00E1na na p\u0159\u00EDpadu dat ze studie STULONG"@cs . . . . "2004-02-22+01:00"^^ . . . "RIV/68407700:21230/04:03096100" . "Nov\u00E1kov\u00E1, Lenka" . "Vysok\u00E1 \u0161kola b\u00E1\u0148sk\u00E1 - Technick\u00E1 univerzita Ostrava" . "Kl\u00E9ma, Ji\u0159\u00ED" . "21230" . "202 ; 209" . "\u0160t\u011Bp\u00E1nkov\u00E1, Olga" . . "Z(MSM 210000012)" .