This HTML5 document contains 41 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n12http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n20http://purl.org/net/nknouf/ns/bibtex#
n9http://localhost/temp/predkladatel/
n7http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n17http://linked.opendata.cz/ontology/domain/vavai/
n19https://schema.org/
shttp://schema.org/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n16http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n6http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26510%2F14%3APU109627%21RIV15-MSM-26510___/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n13http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26510%2F14%3APU109627%21RIV15-MSM-26510___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
The article focuses on the prediction of apple sales of selected company by linear regression and subsequently by using neural networks. The authors find that one of the most important influences on this commodity affects self-sufficiency, which is a major source of anomaly in the market with apples, which manifests itself in 6 months, when the rising price increases and quantity sold, the price increase in the reporting period for10 consecutive years was as the same as a inflation. Prediction of apple sales in the period from June to November may be based on a neuron network with benefit, without the necessity of identifying further factors affecting the demand. In the remaining months an accurate prediction with the help of a neuron network will require the identification of factors affecting purchasing behaviour of the consumers. Created prediction model and the methodology of creation of this model could be used (under specific condition) for prediction of sales for other food commodities of selec The article focuses on the prediction of apple sales of selected company by linear regression and subsequently by using neural networks. The authors find that one of the most important influences on this commodity affects self-sufficiency, which is a major source of anomaly in the market with apples, which manifests itself in 6 months, when the rising price increases and quantity sold, the price increase in the reporting period for10 consecutive years was as the same as a inflation. Prediction of apple sales in the period from June to November may be based on a neuron network with benefit, without the necessity of identifying further factors affecting the demand. In the remaining months an accurate prediction with the help of a neuron network will require the identification of factors affecting purchasing behaviour of the consumers. Created prediction model and the methodology of creation of this model could be used (under specific condition) for prediction of sales for other food commodities of selec
dcterms:title
Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply
skos:prefLabel
Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply
skos:notation
RIV/00216305:26510/14:PU109627!RIV15-MSM-26510___
n4:aktivita
n10:S
n4:aktivity
S
n4:dodaniDat
n13:2015
n4:domaciTvurceVysledku
n7:8239150 n7:5014565
n4:druhVysledku
n5:D
n4:duvernostUdaju
n15:S
n4:entitaPredkladatele
n6:predkladatel
n4:idSjednocenehoVysledku
38771
n4:idVysledku
RIV/00216305:26510/14:PU109627
n4:jazykVysledku
n8:eng
n4:klicovaSlova
Agriculture commodity, neural network, self-sufficiency
n4:klicoveSlovo
n16:self-sufficiency n16:neural%20network n16:Agriculture%20commodity
n4:kontrolniKodProRIV
[2F1C2985FA64]
n4:mistoKonaniAkce
Valencia
n4:mistoVydani
Valencia
n4:nazevZdroje
Proceedings of The 23nd International Business Information Management Association Conference
n4:obor
n18:AE
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n13:2014
n4:tvurceVysledku
Řešetková, Dagmar Štěpánková, Vladěna
n4:typAkce
n12:WRD
n4:wos
000339308100188
n4:zahajeniAkce
2014-05-13+02:00
s:numberOfPages
14
n20:hasPublisher
International Business Information Management Association (IBIMA)
n19:isbn
978-0-9860419-2-1
n9:organizacniJednotka
26510