Metrika

  • citati u SCIndeksu: 0
  • citati u CrossRef-u:0
  • citati u Google Scholaru:[]
  • posete u poslednjih 30 dana:5
  • preuzimanja u poslednjih 30 dana:4

Sadržaj

članak: 7 od 10  
Back povratak na rezultate
2017, vol. 64, br. 4, str. 1513-1521
Primena diskriminacione analize u izboru tipova zemljišta
aUniverzitet odbrane, Vojna akademija, Beograd
bUniverzitet odbrane, Beograd
cSequester Employment, Belgrade

e-adresaradovandam78@gmail.com, snezanakrstic17@gmail.com, office@sequesteremployment.com
Ključne reči: analiza; diferencijacija; tlo; vrste; biljka
Sažetak
Čest problem, u agroekonomiji na primeru ispitne forme uzgoja biljaka, jeste odluka o tome da li biljka ili biljno potomstvo pripada grupi koja donosi profit kada se uzgaja u velikim ili malim zasadima. Ponekad se odluke mogu doneti na osnovu jednog parametra, međutim, češće se ove dve grupe razlikuju na osnovu nekoliko promenljivih, od kojih svaka daje indikator o tome u kojoj se grupi pojedina biljka treba svrstati.Ovo je klasični problem klasifikovanja, gde je opšti problem da se pronađe funkcija raspodele.
Reference
Beauchamp, J. J., Begovich, C. L., Kane, V. E., Wolf, D. A. (1980) Application of discriminant analysis and generalized distance measures to uranium exploration. Journal of the International Association for Mathematical Geology, 12(6): 539-558
Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J. (1984) Classification and regression trees. Belmont: Wadsworth
Chercassky, V., Mučier, F.M. (2007) Learning from data: Concept, theory and mehods. Jogn Wiley, 2ed
Farlov, S. (1984) Self-organizing methods in modeling: GMDH ture algorithm. Taylor and Francis
Forsyth, R. (1989) Machine learning: Principles and technics. London: Chapman and Hall
Gilad-Bachrach, N.F. (2004) Margin based feature selection: Theory and algorithms. u: 21st ICML, Proc
Gilad-Bachrach, N.F. (2006) Large margin principles for feature selection. u: Guvon G., Sikravesh Z. [ur.] Feature extraction, foundations and applications, Springer-Verlag, 2006
Han, J., Camber, M. (2000) Data mining concepts and techniques. San Diego, USA: Morgan Kaufman
Hart, A. (1989) Machine induction as a form of knowledge acquisition in knowledge engineering. u: Forsyth R. [ur.] Machine Learning: Principles and techniques, London: Chapman and Hall, 1989
Haussler, D. (1990) Probably approximately correct learning. u: Artificial Intelligence, 8th National Conference, Proc, Morgan Kaufmann, pp. 1101-1108
Jiang, Z., Wang, T., Xie, Y., Huang, T. (1994) The use of the discriminant analysis method for e π μ separation in BES. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 345(3): 541-548
Kantardzić, M. (2011) Data mining: Concepts, models, methods, and algorithms. Willey-IEEE Press
Kardaun, O.J.W.F., Itoh, S.I., Itoh, K., Kardaun, J.W.P.F. (1993) Discriminant analysis to predict the occurrence of ELMS in H-mode discharges. Nagoya, Japan: National Institute for Fusion Science
Kohavi, R. (1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. u: Artificial Intelligence, International Joint Conference, Proc
Kothari, S. P., Lester, R. (2012) The Role of Accounting in the Financial Crisis: Lessons for the Future. Accounting Horizons, 26(2): 335-351
Milojević, I., Vukoje, A., Mihajlović, M. (2013) Accounting consolidation of the balance by the acquisition method. Ekonomika poljoprivrede, vol. 60, br. 2, str. 237-252
Quinlan, J. R., Cameron-Jones, R. M. (1995) Induction of logic programs: FOIL and related systems. New Generation Computing, 13(3-4): 287-312
Stanojević, S., Đorđević, N., Volf, D. (2017) Primena kvantitativnih metoda u privređivanju poslovanja privrednih društava. Oditor, Centar za ekonomska i finansijska istraživanja, Beograd, Srbija, vol. 3, No. 1, pp. 91-101
Thanh, T.D., Gabbouj, M., Iosifidis, A. (2017) Multilinear class-specific discriminant analysis. Pattern Recognition Letters, 100: 131-136
Vukoje, A. (2013) Faktori egzistencije kao uslov stvaranja tržišne pozicije preduzeća. Oditor, Centar za ekonomska i finansijska istraživanja, Beograd, Srbija, vol. 1, No. 5, pp. 27-37
Written, I.H., Frank, E. (2005) Data Mining: Practical machine learning tools and techniques. San Francisco: Morgan Kaufman, 2 end edition
 

O članku

jezik rada: engleski
vrsta rada: izvorni naučni članak
DOI: 10.5937/ekoPolj1704513D
objavljen u SCIndeksu: 29.03.2018.
metod recenzije: dvostruko anoniman
Creative Commons License 4.0