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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F07%3A00015055%21RIV09-MSM-27240___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
The latent semantic indexing (LSI) method was applied for the retrieval of similar samples (those samples with a similar composition) in a dataset of groundwater samples. The LSI procedure was based on two steps: (i) reduction of the data dimensionality by principal component analysis (PCA) and (ii) calculation of a similarity between selected samples (queries) and other samples. The similarity measures were expressed as the cosine similarity, the Euclidean and Manhattan distances. Five queries were chosen so as to represent different sampling localities. Metoda Latent Semantic Indexing byla aplikována pro vyhledávání podobných vzorků v databázi vod. Pět dotazů bylo vybráno tak, aby respektovalo rozdílné lokality. The latent semantic indexing (LSI) method was applied for the retrieval of similar samples (those samples with a similar composition) in a dataset of groundwater samples. The LSI procedure was based on two steps: (i) reduction of the data dimensionality by principal component analysis (PCA) and (ii) calculation of a similarity between selected samples (queries) and other samples. The similarity measures were expressed as the cosine similarity, the Euclidean and Manhattan distances. Five queries were chosen so as to represent different sampling localities.
dcterms:title
Information retrieval in hydrochemical data using the latent semantic indexing approach Vyhledávání informací v hydrochemických datech užitím přístupu Latent Semantic Indexing Information retrieval in hydrochemical data using the latent semantic indexing approach
skos:prefLabel
Information retrieval in hydrochemical data using the latent semantic indexing approach Information retrieval in hydrochemical data using the latent semantic indexing approach Vyhledávání informací v hydrochemických datech užitím přístupu Latent Semantic Indexing
skos:notation
RIV/61989100:27240/07:00015055!RIV09-MSM-27240___
n3:aktivita
n7:Z n7:P
n3:aktivity
P(1M06047), Z(MSM6198910016)
n3:cisloPeriodika
2
n3:dodaniDat
n13:2009
n3:domaciTvurceVysledku
n5:8145652 n5:3044521
n3:druhVysledku
n14:J
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
426601
n3:idVysledku
RIV/61989100:27240/07:00015055
n3:jazykVysledku
n17:eng
n3:klicovaSlova
hydrochemistry; information retrieval; latent semantic indexing; principal component analysis; similarity
n3:klicoveSlovo
n4:latent%20semantic%20indexing n4:principal%20component%20analysis n4:information%20retrieval n4:similarity n4:hydrochemistry
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[D904240D973B]
n3:nazevZdroje
Journal of Hydroinformatics
n3:obor
n8:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n16:1M06047
n3:rokUplatneniVysledku
n13:2007
n3:svazekPeriodika
9
n3:tvurceVysledku
Praks, Pavel Praus, Petr
n3:wos
000245349700005
n3:zamer
n19:MSM6198910016
s:issn
1464-7141
s:numberOfPages
9
n11:organizacniJednotka
27240