THE INTERNATIONAL CONGRESS ON INFORMATION TECHNOLOGIES IN MEDICINE, PHARMACY, AGRICULTURE, FOOD, FORESTY, ENVIRONMENT AND ENGINEERING
Creating a Decision Support System for Real Estate Valuation and Virtual Market by Data Mining
Yayıncı:
Tokat Gaziosmanpaşa Üniversitesi
This project examines the impact of the rapid development of information technology on the real estate buying and selling sector and the transformation in this field. In particular, it focuses on how data mining techniques and virtual market platforms play a role in real estate valuation processes and buying and selling transactions. The effective use of data mining techniques in identifying market trends, optimizing property valuation processes and supporting investment decisions and the potential to obtain more accurate, faster and predictable results than traditional methods will be examined. These techniques enable us to get more accurate and faster results in real estate valuation by extracting meaningful information from large data sets. This makes it possible to give more valued decisions and to develop more effective strategies in the real estate sector. By focusing on virtual market platforms and Decision Support Systems (DSS), the potential of the systems to digitize real estate buying and selling processes will make them more transparent and accessible. By doing so, it will increase trusting between the both parties. These platforms support the decision-making of buyers and sellers and make real estate trading more efficient. Additionally, the system to be developed in the work will assist to make the real estate worklife accessible for a wider audience of investors. This study will discuss the benefits and challenges in the sector. Hence, the technological innovations mentioned here will bring to the sector to make predictions about future developments. It will enable us to better understand transformation in the real estate sector and to evaluate the full potential of technology in this field.
