About: Anachronistic Attributes in Temporal Data: A Case Study

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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	Není k dispozici (cs) The paper concerns mining data lacking the uniform structure. The data are collected from a number of objects during repeated measurements, all of which are tagged by a corresponding time. No attribute-valued machine learning algorithm can be applied directly on such data since the number of measurements is not fixed but it varies. The available data have to be transformed and preprocessed in such a way that a uniform type of information is obtained about all the considered objects. This can be achieved, e.g., by aggregation. But this process can introduce anachronistic variables, i.e., variables containing information which cannot be available at the moment when a prediction is needed. The paper suggests and tests a method how to preprocess the considered type of data without falling into a trap of introducing anachronistic attributes. The method is illustrated on a case study based on STULONG data. The paper concerns mining data lacking the uniform structure. The data are collected from a number of objects during repeated measurements, all of which are tagged by a corresponding time. No attribute-valued machine learning algorithm can be applied directly on such data since the number of measurements is not fixed but it varies. The available data have to be transformed and preprocessed in such a way that a uniform type of information is obtained about all the considered objects. This can be achieved, e.g., by aggregation. But this process can introduce anachronistic variables, i.e., variables containing information which cannot be available at the moment when a prediction is needed. The paper suggests and tests a method how to preprocess the considered type of data without falling into a trap of introducing anachronistic attributes. The method is illustrated on a case study based on STULONG data. (en)
Title	Není k dispozici (cs) Anachronistic Attributes in Temporal Data: A Case Study Anachronistic Attributes in Temporal Data: A Case Study (en)
skos:prefLabel	Není k dispozici (cs) Anachronistic Attributes in Temporal Data: A Case Study Anachronistic Attributes in Temporal Data: A Case Study (en)
skos:notation	RIV/68407700:21230/04:03107391!RIV/2005/MSM/212305/N
http://linked.open.../vavai/riv/strany	421 ; 434
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM 210000012)
http://linked.open...iv/cisloPeriodika	5
http://linked.open...vai/riv/dodaniDat	2005
http://linked.open...aciTvurceVysledku	Vysloužilová, Lenka Štěpánková, Olga 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	554137
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/04:03107391
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Data mining; anachronistic attribute; data preprocessing; sequential data; temporal pattern; trend analysis; windowing (en)
http://linked.open.../riv/klicoveSlovo	trend analysis Data mining data preprocessing windowing sequential data temporal pattern anachronistic attribute
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[5A49D9A2FFF3]
http://linked.open...i/riv/nazevZdroje	Neural Network World
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2004
http://linked.open...v/svazekPeriodika	14
http://linked.open...iv/tvurceVysledku	Kléma, Jiří Štěpánková, Olga Nováková, Lenka
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20210000012
issn	1210-0552
number of pages	14 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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