THE DATA MINING OF REAL ESTATE MARKET

It is done overview of data mining methods used for the study of financial markets, including real estate market. It is analyzed the features of the property market, which require the use of methods of data mining. It is suggested the algorithm of real estate market data mining. On the basis of consideration for the real estate market in Ukraine coherent market hypothesis, which assumes the market stay in one of four defined phases (random walk, unstable transition, chaotic market, coherence), a method for identifying the corresponding phase based on fuzzy model is given. To this end, the peculiarities of qualitative and quantitative phases of the real estate market are determined. The proposed method is based on the use of the fuzzy model. The application of the constructed model to determine the state of the real estate market on the basis of coherent market hypothesis based on fuzzy simulation allow for a qualitative analysis of the current situation in the real estate market, to estimate the probability of transition property market in the next phase, to provide guidance on price forecasting in the presence in one or another phase.