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rdf:type
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Description
| - Sekvenční data jsou významným zdrojem potenciálně nových lékařských znalostí. Článek aplikuje a srovnává tři různé přístupy sekvenčního dolování dat v případové studii vývoje rizikových faktorů aterosklerózy. (cs)
- Sequential data represent an important source of potentially new medical knowledge. However, this type of data is rarely provided in a format suitable for immediate application of conventional mining algorithms. This paper summarizes and compares three different sequential mining approaches, based respectively on windowing, episode rules and inductive logic programming. Windowing is one of the essential methods of data preprocessing, episode rules represent general sequential mining while inductive logic programming extracts first order features whose structure is determined by background knowledge. The three approaches are demonstrated and evaluated in terms of a case study STULONG. It is a longitudinal preventive study of atherosclerosis where the data consist of series of longterm observations recording the development of risk factors and associated conditions.
- Sequential data represent an important source of potentially new medical knowledge. However, this type of data is rarely provided in a format suitable for immediate application of conventional mining algorithms. This paper summarizes and compares three different sequential mining approaches, based respectively on windowing, episode rules and inductive logic programming. Windowing is one of the essential methods of data preprocessing, episode rules represent general sequential mining while inductive logic programming extracts first order features whose structure is determined by background knowledge. The three approaches are demonstrated and evaluated in terms of a case study STULONG. It is a longitudinal preventive study of atherosclerosis where the data consist of series of longterm observations recording the development of risk factors and associated conditions. (en)
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Title
| - Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors
- Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors (en)
- Dolování sekvenčních dat: srovnávací případová studie vývoje rizikových faktorů aterosklerózy (cs)
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skos:prefLabel
| - Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors
- Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors (en)
- Dolování sekvenčních dat: srovnávací případová studie vývoje rizikových faktorů aterosklerózy (cs)
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skos:notation
| - RIV/68407700:21230/08:03136549!RIV09-MSM-21230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1ET101210513), Z(MSM6840770012)
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/08:03136549
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - anachronism; episode rules; inductive logic programming; temporal pattern; trend analysis; windowing (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - US - Spojené státy americké
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - IEEE Transactions on Systems, Man, and Cybernetics: Part C
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Kléma, Jiří
- Železný, Filip
- Štěpánková, Olga
- Nováková, Lenka
- Karel, Filip
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http://linked.open...ain/vavai/riv/wos
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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