À propos de cet article

Citez

Anderson, D. R. (2018). An introduction to management science: quantitative approaches to decision making. Cengage learning, 877. Search in Google Scholar

Aonishi, T., Maruyama, R., Ito, T., Miyakawa, H., Murayama, M., & Ota, K. (2022). Imaging data analysis using non-negative matrix factorization. Neuroscience Research, 179, 51–56. https://doi.org/10.1016/j.neures.2021.12.001 PMID:34953961 Search in Google Scholar

Bañares, J. Á., Altmann, J., & Vanmechelen, K. (2016). Economics of computing services. Future Generation Computer Systems, 55, 401–402. https://doi.org/10.1016/j.future.2015.09.030 Search in Google Scholar

Barańska, A. (2010). Different methods for assessing the similarity of real estate in two-stage estimation algorithm based on multiplicative functions. FIG Congress. Search in Google Scholar

Bełej, M., & Kulesza, S. (2014). Similarities in Time-Series of Housing Prices on Local Markets in Poland. Real Estate Management and Valuation, 22(3), 45–53. https://doi.org/10.2478/remav-2014-0026 Search in Google Scholar

Bełej, M., Cellmer, R., Źróbek, S., & Maruska, S. K. (2016). Analysis in determining the similarity of local real estate markets’ conditions. Oeconomia, 15(4), 27–39. Search in Google Scholar

Belkina, A. C., Ciccolella, C. O., Anno, R., Halpert, R., Spidlen, J., & Snyder-Cappione, J. E. (2019). Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets. Nature Communications, 10(1), 5415. https://doi.org/10.1038/s41467-019-13055-y PMID:31780669 Search in Google Scholar

Belniak, S., & Głuszak, M. (2011). Uwarunkowania i zróżnicowanie lokalnych rynków mieszkaniowych w Polsce (Determinants and diversification of local housing markets in Poland). Zeszyty Naukowe / Uniwersytet Ekonomiczny w Poznaniu, nr 192, 20–29. Search in Google Scholar

Beracha, E. W. M. B. (2013). Forecasting residential real estate price changes from online search activity. Journal of Real Estate Research 35(3), 283-312. https://doi.org/10.1080/10835547.2013.12091364 Search in Google Scholar

Bitner, A. (2007). Konstrukcja modelu regresji wielorakiej przy wycenie nieruchomości (Construction of a Multiple Regression Model for the Valuation of Real Estate). Acta Scientiarum Polonorum. Administratio Locorum, 6(4), 59–66. Search in Google Scholar

Branquinho, J. (Ed.). (2001). The Foundations of Cognitive Science. Oxford University Press UK. https://doi.org/10.1093/oso/9780198238904.001.0001 Search in Google Scholar

Brzezicka, J., & Wiśniewski, R. (2013). Ekonomia behawioralna a rynek nieruchomości - teoria i praktyka (Behavioral economics and the real estate market - theory and practice). Psychologia Ekonomiczna, (3), 6–18. https://doi.org/10.14659/PJOEP.2013.03.01 Search in Google Scholar

Carbon, C. C. (2011). Cognitive mechanisms for explaining dynamics of aesthetic appreciation. IPerception, 2(7), 708–719. https://doi.org/10.1068/i0463aap PMID:23145254 Search in Google Scholar

Carbon, C. C. (2014). Understanding human perception by humanmade illusions. Frontiers in Human Neuroscience, 8(JULY), 566. https://doi.org/10.3389/fnhum.2014.00566 PMID:25132816 Search in Google Scholar

Cellmer, R., Cichulska, A., & Bełej, M. (2020). Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression. ISPRS International Journal of Geo-Information 2020, 9, 380. https://doi.org/10.3390/ijgi9060380 Search in Google Scholar

Ćetković, J., Lakić, S., Lazarevska, M., Žarković, M., Vujošević, S., Cvijović, J., & Gogić, M. (2018). Assessment of the Real Estate Market Value in the European Market by Artificial Neural Networks Application. Complexity, 2018, 1–10. Advance online publication. https://doi.org/10.1155/2018/1472957 Search in Google Scholar

Chmielewska, A., Renigier-Biłozor, M., & Janowski, A. (2022). Representative Residential Property Model-Soft Computing Solution. International Journal of Environmental Research and Public Health, 19(22), 15114. https://doi.org/10.3390/ijerph192215114 PMID:36429830 Search in Google Scholar

Choy, L. H. T., Ho, W. K. O. (2023). The Use of Machine Learning in Real Estate Research. Land 2023, Vol. 12, Page 740, 12(4), 740. https://doi.org/10.3390/land12040740 Search in Google Scholar

d’Amato, M., & Kauko, T. (2017). Advances in automated valuation modeling: AVM after the non-agency mortgage crisis. 418. Search in Google Scholar

Del Giudice, V., & De Paola, P. (2017). Spatial analysis of residential real estate rental market with geoadditive models. Studies in Systems. Decision and Control, 86, 155–162. https://doi.org/10.1007/978-3-319-49746-4_8 Search in Google Scholar

Demetriou, D. (2017). A spatially based artificial neural network mass valuation model for land consolidation. Environment and Planning B: Urban Analytics and City Science, 44(5), 864-883. https://doi.org/10.1177/0265813516652115 Search in Google Scholar

Dittmann, I. (2013). Primary and secondary residential real estate markets in Poland –analogies in offer and transaction price development. Real Estate Management and Valuation, 21(1), 39–48. https://doi.org/10.2478/remav-2013-0006 Search in Google Scholar

Doszyn, M. (2020). System kalibracji macierzy wpływu atrybutów w szczecińskim algorytmie masowej wyceny nieruchomości (Attribute influence matrix calibration system in Szczecin’s mass real estate valuation algorithm). Wydawnictwo Naukowe Uniwersytetu Szczecinskiego. Search in Google Scholar

Forys, I. (2016). Real estate price indices for small area. Studia i Prace Wydziału Nauk Ekonomicznych i Zarządzania 45(2), 37-48. Search in Google Scholar

Frukacz, M., Popieluch, M., & Preweda, E. (2011). Korekta cen nieruchomości ze wzglęu na uplyw czasu w przypadku dużych baz danych (Adjustment of property prices for elapsed time for large databases). Infrastruktura i Ekologia Terenów Wiejskich, 4, 213–226. Search in Google Scholar

Gaca, R., & Sawiłow, E. (2015). Wykorzystanie metody korygowania stanów cech nieruchomości do stanu „ceteris paribus” dla określenia zmiany poziomu cen nieruchomości wskutek upływu czasu (Using the method of correcting the states of real estate features to the state of “ceteris paribus” to determine the change in the level of real estate prices due to the passage of time). Rzeczoznawca Majątkowy, 87. Search in Google Scholar

George, A. (2012). Anomaly detection based on machine learning: Dimensionality reduction using PCA and classification using SVM. International Journal of Computer Applications, 47(21), 5–8. https://doi.org/10.5120/7470-0475 Search in Google Scholar

Glosbe. (2023). https://Pl.Glosbe.Com/Pl/Pl/Homogeniczny. Search in Google Scholar

Gnat, S. (2019). Measurement of entropy in the assessment of homogeneity of areas valued with the Szczecin Algorithm of Real Estate Mass Appraisal. Journal of Economics and Management, 38, 89–106. https://doi.org/10.22367/jem.2019.38.05 Search in Google Scholar

Grossberg, S. (2013). Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world. Neural Networks: The Official Journal of the International Neural Network Society, 37, 1–47. https://doi.org/10.1016/j.neunet.2012.09.017 PMID:23149242 Search in Google Scholar

Halko, N., Martinsson, P.-G., Shkolnisky, Y., & Tygert, M. (2011). An algorithm for the principal component analysis of large data sets. SIAM Journal on Scientific Computing, 33(5), 2580–2594. https://doi.org/10.1137/100804139 Search in Google Scholar

Heckman, J. J. (2008). Econometric Causality. International Statistical Review, 76(1), 1–27. https://doi.org/10.1111/j.1751-5823.2007.00024.x Search in Google Scholar

Howlader, K. C., Satu, M. S., Awal, M. A., Islam, M. R., Islam, S. M. S., Quinn, J. M. W., & Moni, M. A. (2022). Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Information Science and Systems, 10(1), 2. https://doi.org/10.1007/s13755-021-00168-2 PMID:35178244 Search in Google Scholar

Hwang, S., & Thill, J. C. (2009). Delineating Urban Housing Submarkets with Fuzzy Clustering. Environment and Planning. B, Planning & Design, 36(5), 865–882. https://doi.org/10.1068/b34111t Search in Google Scholar

Janowski, A., Renigier-Biłozor, M., Walacik, M., & Chmielewska, A. (2021). Remote measurement of building usable floor area – Algorithms fusion. Land Use Policy, 100, 104938. https://doi.org/10.1016/j.landusepol.2020.104938 Search in Google Scholar

Kauko, Tom., & d’Amato, Maurizio. (2008). Mass appraisal methods : an international perspective for property valuers. 332. Search in Google Scholar

Kucharska-Stasiak, E. (2022). The evolution of the market value definition. Geomatics and Environmental Engineering, 16(4), 135–155. https://doi.org/10.7494/geom.2022.16.4.135 Search in Google Scholar

Kucharska-Stasiak, E., Załęczna, M., & Żelazowski, K. (2012). Wpływ procesu integracji Polski z Unią Europejską na rozwój rynków Nieruchomości (The impact of Poland’s integration process with the European Union on the development of real estate markets). Wydawnictwo Uniwersytetu Łódzkiego. Search in Google Scholar

Lee, H., Han, H., Pettit, C. et al. Machine learning approach to residential valuation: a convolutional neural network model for geographic variation. Ann Reg Sci (2023). Search in Google Scholar

Lee, H., Han, H., Pettit, C., Gao, Q., & Shi, V. (2023). Machine learning approach to residential valuation: A convolutional neural network model for geographic variation. The Annals of Regional Science, 2023, 1–21. https://doi.org/10.1007/s00168-023-01212-7 Search in Google Scholar

Little, A., Xie, Y., & Sun, Q. (2022). An analysis of classical multidimensional scaling with applications to clustering. Information and Inference, 12(1), 72–112. https://doi.org/10.1093/imaiai/iaac004 PMID:36761434 Search in Google Scholar

Makowska, A. (2016). The measurement of similarities in the process of determining the market value of residential premises. Praca Doktorska. Search in Google Scholar

Mana, S. C., & Sasipraba, T. (2021). Research on cosine similarity and pearson correlation based recommendation models. Journal of Physics: Conference Series, 1770(1), 012014. https://doi.org/10.1088/1742-6596/1770/1/012014 Search in Google Scholar

Mana, S. C., & Sasipraba, T. (2021). Research on cosine similarity and pearson correlation based recommendation models. Journal of Physics: Conference Series, 1770(1), 012014. https://doi.org/10.1088/1742-6596/1770/1/012014 Search in Google Scholar

Maruszewski, T. (2016). Psychologia poznania: umysł i świat. In (1946-) (Psychology of cognition: the mind and the world. In (1946-). Gdańskie Wydawnictwo Psychologiczne. Search in Google Scholar

McCluskey J., Daud D., Z. & Kamarudin, N. (2014). Boosted regression trees: An application for the mass appraisal of residential property in Malaysia. Journal of Financial Management of Property and Construction, 19(2), 152–167. https://doi.org/10.1108/JFMPC-06-2013-0022 Search in Google Scholar

McCluskey, W. J., & Borst, R. A. (2017). The theory and practice of comparable selection in real estate valuation.Decision and Control, 86, 307–330. https://doi.org/10.1007/978-3-319-49746-4_17 Search in Google Scholar

McKeown, W., & Buchanan, J. (2023). Hamming distributions of popular perceptual hashing techniques. Forensic Science International Digital Investigation, 44, 301509. https://doi.org/10.1016/j.fsidi.2023.301509 Search in Google Scholar

Merleau-Ponty. (2001). Fenomenologia Percepcji. Fundacja Aletheia. https://www.scribd.com/doc/199223632/Merleau-Ponty-Fenomenologia-Percepcji Search in Google Scholar

Miller, G. A. (2003). The cognitive revolution: a historical perspective. Trends in Cognitive Sciences, 7(3), 141–144. https://doi.org/10.1016/S1364-6613(03)00029-9 Search in Google Scholar

Mohan, S., & Giridhar M.V.S.S. (2022). A brief review of recent developments in the integration of deep learning with GIS. Geomatics and Environmental Engineering, 16(2), 21–38. https://doi.org/10.7494/geom.2022.16.2.21 Search in Google Scholar

Nelson, N., Sepidehsadat, H., Kai-Hung, C., Hang, C., Chin-Yi, C., & Yasutaka, F. (2021). House-gan++: Generative adversarial layout refinement network towards intelligent computational agent for professional architects. Search in Google Scholar

Ning, Y., Liu, J., & Yan, L. (2013). Uncertain aggregate production planning. Soft Computing, 17(4), 617–624. https://doi.org/10.1007/s00500-012-0931-4 Search in Google Scholar

Nowiński, A., & Kowalski, M. (2018). Analiza danych z wykorzystaniem technik klastrowania dla identyfikacji grup podobnych obiektów (Data analysis using clustering techniques to identify groups of similar objects). Przetwarzanie Danych i Inżynieria Wiedzy, 3. Search in Google Scholar

Ogiela, L. (2013). Cognitive informatics in image semantics description, identification and automatic pattern understanding. Neurocomputing, 122, 58–69. https://doi.org/10.1016/j.neucom.2013.06.001 Search in Google Scholar

Ogiela, L. (2014). Towards cognitive economy. Soft Computing, 18(9), 1675–1683. https://doi.org/10.1007/s00500-014-1230-z Search in Google Scholar

Ogiela, L. (2017). Cognitive information systems in management sciences. Cognitive Information Systems in Management Sciences. 1–130. Academic Press; 1st edition (March 20, 2017). Search in Google Scholar

Oxford Learner’s Dictionaries. (2023, July 23). https://www.Oxfordlearnersdictionaries.Com Search in Google Scholar

Pavlov, A. D. (2000). Space-varying regression coefficients: A semiparametric approach applied to real estate markets. Real Estate Economics, 28(2), 249–283. https://doi.org/10.1111/1540-6229.00801 Search in Google Scholar

Powszechne krajowe zasady wyceny (PKZW), nota interpetacyjna, zastosowanie podejścia porównawczego w wycenie Nieruchomości. (2009). (General national valuation principles, interpretative note, application of the comparative approach in real estate valuation). Search in Google Scholar

Qiu, J., Wang, B., & Zhou, C. (2020). Forecasting stock prices with long-short term memory neural network based on attention mechanism. PLoS One, 15(1), e0227222. https://doi.org/10.1371/journal.pone.0227222 PMID:31899770 Search in Google Scholar

Rącka, I. (2017). Jakość informacji na rynku nieruchomości w Polsce (The Quality of Information on the Real Estate Market in Poland). Problemy Jakości, 4, 19–25. Search in Google Scholar

Renigier-Biłozor, M., Janowski, A., Walacik, M., & Chmielewska, A. (2022). Modern challenges of property market analysishomogeneous areas determination. Land Use Policy, 119, 106209. https://doi.org/10.1016/j.landusepol.2022.106209 Search in Google Scholar

Ries, A., & Trout, J. (1986). Positioning: the battle for your mind. 213. https://books.google.com/books/about/Positioning.html?hl=pl&id=kpMTngEACAAJ Search in Google Scholar

Royuela, V., & Duque, J. C. (2013). HouSI: Heuristic for delimitation of housing submarkets and price homogeneous areas. Computers, Environment and Urban Systems, 37(1), 59–69. https://doi.org/10.1016/j.compenvurbsys.2012.04.005 Search in Google Scholar

Rozporządzenie Rady Ministrów z dnia 21 września 2004 r. w sprawie wyceny nieruchomości i sporządzania operatu szacunkowego (The Regulation of the Council of Ministers of September 21, 2004, on the valuation of real estate and the preparation of the appraisal report). Search in Google Scholar

Sawiłow, E. (2011). Ocena algorytmów wyceny nieruchomości w podejściu porównawczym (Evaluation of real estate valuation algorithms in the comparative approach). Studia i Materiały Towarzystwa Naukowego Nieruchomości, 19(3), 20–32. Search in Google Scholar

Ślęzak, R., & Zgrzywa, S. (2019). Zastosowanie danych o parametrach homogenicznych obiektów jako wektora cech do identyfikacji klasy zawartości (Using homogeneous object parameter data as a feature vector to identify content class). Informatyka i Technika Multimedialna, 1. Search in Google Scholar

Sokół, K., & Sobolewska-Mikulska, K. (2023). Procedural inaccuracies and the issue of determining real estate value in court proceedings. Geomatics and Environmental Engineering, 17(4), 33–51. https://doi.org/10.7494/geom.2023.17.4.33 Search in Google Scholar

Ustawa z dnia 21 sierpnia 1997r. o gospodarce nieruchomościami (Act of real estate management) (Dz. U. z 2023 r.poz. 344, 1113,1463.). Search in Google Scholar

Walesiak, M. (2016). Uogólniona miara odległości GDM w statystycznej analizie wielowymiarowej z wykorzystaniem programu R (Generalized GDM distance measure in statistical multivariate analysis using R software). https://ksiegarnia.ue.wroc.pl/uogolniona-miara-odlegloscigdm-w-statystycznej-analizie-wielowymiarowej-zwykorzystaniem-programu-r Search in Google Scholar

Wang, X., Wen, J., Zhang, Y., & Wang, Y. (2014). Real estate price forecasting based on SVM optimized by PSO. Optik (Stuttgart), 125(3), 1439–1443. https://doi.org/10.1016/j.ijleo.2013.09.017 Search in Google Scholar

Willis, J., & Todorov, A. (2006). First impressions. Https://Doi.Org/10.1111/j.1467-9280.2006.01750.x, 17(7), 592–598. https://doi.org/10.1111/j.1467-9280.2006.01750.x Search in Google Scholar

Wyrok NSA z 20 maja 2021, I OSK 4117/18, CBOSA. (2021). (Supreme Administrative Court judgment) Search in Google Scholar

Wyrok NSA z 4 sierpnia 2020 r., I OSK 3563/18. (2020). (Supreme Administrative Court judgment) Search in Google Scholar

Zhang, J. (2023). Efficiency analysis of jaccard similarity in probabilistic distribution model. Academic Journal of Computing & Information Science, 6(2). https://doi.org/10.25236/AJCIS.2023.060208 Search in Google Scholar

Zhou, G., Ji, Y., Chen, X., & Zhang, F. (2018). Artificial Neural Networks and the Mass Appraisal of Real Estate. [IJOE]. International Journal of Online and Biomedical Engineering, 14(3), 180–187. https://doi.org/10.3991/ijoe.v14i03.8420 Search in Google Scholar

Ziolkowski, P., Demczynski, S., & Niedostatkiewicz, M. (2019). Assessment of Failure Occurrence Rate for Concrete Machine Foundations Used in Gas and Oil Industry by Machine Learning. Applied Sciences, 9(16), 3267. https://doi.org/10.3390/app9163267 Search in Google Scholar

Ziolkowski, P., Niedostatkiewicz, M., & Kang, S. B. (2021). Model-Based Adaptive Machine Learning Approach in Concrete Mix Design. Materials, 14(7), 1661. https://doi.org/10.3390/ma14071661 Search in Google Scholar

Zyga, J. (2011). Definicja podobieństwa nieruchomości dla potrzeb ich wyceny (Similarity Definition for Real Estate Appraisal). Rzeczoznawca Majątkowy, 4, 33–35. Search in Google Scholar

Zyga, J. (2016). Connection between Similarity and Estimation Results of Property Values Obtained by Statistical Methods. Real Estate Management and Valuation, 24(3), 5–15. https://doi.org/10.1515/remav-2016-0017 Search in Google Scholar

eISSN:
2300-5289
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Business and Economics, Political Economics, other