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Procena tržišne vrednosti stana metodom k-najbližih suseda

dc.creatorDragojević, Marko
dc.creatorStančić, Nikola
dc.date.accessioned2020-04-25T18:07:49Z
dc.date.available2020-04-25T18:07:49Z
dc.date.issued2019
dc.identifier.isbn978-86-80297-73-6
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/1920
dc.description.abstractThe market value of apartments is, as the name itself suggests, defined by the sellers and the buyers through supply and demand – elements that collectively make up the market. Observing a large number of factors affecting the price of real estate is not an easy job. Price formation depends on both the characteristics of the apartment and the buyer’s value-system. The basic question that a rational customer asks himself is "why would I pay a larger sum of money for the same or practically same thing than what someone else paid for it just recently?". This fact leads to the conclusion that it is necessary to know the characteristics and prices of the real estates traded in the near past and in the close surrounding. A comparative way of customer’s thinking is the basic principle for defining one such model. This is a necessary but not sufficient condition. Models based on the machine learning algorithms (among them k-Nearest Neighbors algorithm) require having a larger amount of data, so that the made conclusions can be reliable, accurate, and precise.en
dc.description.abstractTržišnu vrednost stanova, kao što sama reč govori, definišu prodavci i kupci kroz ponudu i tražnju, koje u osnovi i čine samo tržište. Sagledavanje velikog broja faktora uticaja na cenu nepokretnosti nije nimalo lak posao. Formiranje cena zavisi kako od karakteristika stana, tako i od sistema vrednosti kupaca. „Zašto bih ja za istu ili sličnu stvar platio veći iznos nego što je neko drugi platio u neposrednoj prošlosti“ jeste osnovno pitanje koje racionalan kupac postavlja sebi. Ova činjenica dovodi do zaključka da je potrebno znati karakteristike i cene nepokretnosti koje su oglašene ili prometovane u neposrednoj prošlosti u bliskom okruženju. Komparativni način razmišljanja kupca je osnovni uslov i princip za definisanje jednog ovakvog modela. Ovo je neophodan, ali ne i dovoljan uslov. Modeli bazirani na algoritmima mašinskog učenja, kao što je i k-najbližih suseda, podrazumevaju poznavanje nešto veće količine kvalitetnih podataka, kako bi doneti zaključci bili pouzdani, tačni i precizni.sr
dc.language.isoensr
dc.publisherSubotica : Građevinski fakultet Suboticasr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36020/RS//sr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47014/RS//sr
dc.rightsopenAccesssr
dc.source7th International Conference 'Contemporary Achievements in Civil Engineering 2019'sr
dc.subjectestimating market valuesr
dc.subjectmarket of apartmentssr
dc.subjectdata miningsr
dc.subjectk-Nearest Neighbors algorithmsr
dc.subjectprocena tržišne vrednostisr
dc.subjecttržište stanovasr
dc.subjectzaključivanje iz podatakasr
dc.subjectmetoda k-najbližih susedasr
dc.titleEstimating Market Value of Apartments Using the k-Nearest Neighbors Algorithmen
dc.titleProcena tržišne vrednosti stana metodom k-najbližih susedasr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.rights.holderGrađevinski fakultet Suboticasr
dc.citation.epage1069
dc.citation.spage1059
dc.citation.volume7
dc.identifier.doi10.14415/konferencijaGFS2019.098
dc.identifier.fulltexthttp://grafar.grf.bg.ac.rs/bitstream/id/7371/bitstream_7371.pdf
dc.type.versionpublishedVersionsr


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