Št. zadetkov: 29
Ni določena
Oznake:
trženje;strategija trženja;marketing;potrošnik;tržna analiza;proizvodi;cene;promocija;tržno planiranje;psihologija potrošnika;planiranje proizvodnje;izdelki;distribucija;management;Marketing;Učbeniki za visoke šole;Marketinška strategija;Prodajni kanali;Potrošniški interesi;Distribuirani sistemi;
Marketing
Leto:
1997
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Ni določena
Oznake:
prodaja na drobno;trgovina;lokacija;trgovske družbe;institucije;trgovanje;prodaja na debelo;spremembe;prodaja;potrošnik;identiteta;varstvo potrošnikov;psihologija potrošnika;cilj;uporaba človeških zmogljivosti;človeški potencial;operativni management;tržne poti;promocija;medorganizacijsko trženje;WWW;uporaba računalnika;potrebe;trg;segmentacija;image;strategija trženja;controlling;marketing mix;marketinški splet;trženje;nabava;poslovne odločitve;blagovne znamke;politika cen;prodajna cena;komuniciranje;oglaševanje;ekonomska propaganda;storitve;uspešnost poslovanja;elektronsko poslovanje;kariera;poklicna uspešnost;učbeniki;case study;primeri;Marketing;Učbeniki za visoke šole;Študije primerov;Trgovina na drobno;Marketing miks;Marketinška strategija;Prodajni kanali;Svetovni splet;Elektronska trgovina;Nekonvencionalni pristop;Tržni odnosi;Tržna miselnost;Potrošniški interesi;Distribuirani sistemi;Trgovina;Prodaja na drobno;Ključne besede;Implementacija;Tržno planiranje;Potrošniki;Ciljani skrining;Vedenjski vzorci;Identifikacija;Razumevanje;Management;Človeški viri;Dimenzioniranje;
Retail management : a strategic approach
Leto:
2001
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Video in druga učna gradiva
Oznake:
social sciences;education;computer science;data visualisation
We conducted an observational study to examine current practice with both traditional blackboards and computer slides, with the ultimate goal of designing rich presentation tools for high resolution and multiple screens.
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
mathematics;graph theory;computer science;network analysis;calculus
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;network analysis
Over the last few years, digital messaging has seen dramatic shifts in the mediums used to communicate, message length and priority, and expectations about who can contact who. The most recent release of Facebook Messages aims to recognize these trends and ease the complex scenarios these create. In ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;information retrieval
In this paper we introduce a new algorithm for updating the parameters of a heuristic evaluation function, by updating the heuristic towards the values computed by an alpha-beta search. Our algorithm differs from previous approaches to learning from search, such as Samuel's checkers player and the T ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;optimization methods;machine learning;kernel methods;support vector machines;regularization;compressed sensing
Recent empirical research indicates that many convex optimization problems with
random constraints exhibit a phase transition as the number of constraints increases. For
example, this phenomenon emerges in the l1 minimization method for identifying a sparse
vector from random linear samples. Indeed, ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
We consider a nonparametric additive model of a conditional mean function
in which the number of variables and additive components may be much
larger than the sample size but the number of non-zero additive compo-
nents is small relative to the sample size. The statistical problem is to
determin ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;digital signal processing;machine learning;computational learning theory;deep learning;information theory;mathematics;statistics
Recent research indicates that many convex optimization problems with random constraints exhibit
a phase transition as the number of constraints increases. For example, this phenomenon emerges in the `1
minimization method for identifying a sparse vector from random linear measurements. Indeed, th ...
Leto:
2014
Vir:
videolectures.net