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Typical errors in the data for the performance of the state cadastral assessment of real estate objects
Author(s) -
I Kustysheva,
Viktor Moskvin
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/403/1/012164
Subject(s) - cadastre , real estate , state (computer science) , russian federation , estate , federal state , service (business) , value (mathematics) , data science , computer science , geography , business , cartography , political science , regional science , finance , public administration , marketing , algorithm , machine learning
This scientific article addresses the issues of typical errors in the information on real estate objects to the fullest extent of this issue. The content of this scientific article is a modern knowledge and statistical data obtained on the basis of the activities of the federal state body -the Federal Service for State Registration of Cadastre and Cartography of the Russian Federation. The main provisions of the State Inventory Assessment real estate, cadastral value, Unified State Register of Real Estate.

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