About: Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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)
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)
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)
skos:notation	RIV/68407700:21230/08:03136549!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1ET101210513), Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2009
http://linked.open...aciTvurceVysledku	Vysloužilová, Lenka Štěpánková, Olga Karel, Filip Železný, Filip Kléma, Jiří
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	394466
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/08:03136549
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	anachronism; episode rules; inductive logic programming; temporal pattern; trend analysis; windowing (en)
http://linked.open.../riv/klicoveSlovo	trend analysis anachronism windowing inductive logic programming episode rules temporal pattern
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[406CB7AB22CF]
http://linked.open...i/riv/nazevZdroje	IEEE Transactions on Systems, Man, and Cybernetics: Part C
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Relational machine learning for analysis of biomedical data
http://linked.open...UplatneniVysledku	2008
http://linked.open...v/svazekPeriodika	38
http://linked.open...iv/tvurceVysledku	Kléma, Jiří Železný, Filip Štěpánková, Olga Nováková, Lenka Karel, Filip
http://linked.open...ain/vavai/riv/wos	000251840500002
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	1094-6977
number of pages	13 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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