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Academic Journal of Business & Management, 2025, 7(6); doi: 10.25236/AJBM.2025.070601.

Data-Mining Algorithms on the Basis of House Prices

Author(s)

Menglei Liu1, Xiaowen Yu2

Corresponding Author:
Xiaowen Yu
Affiliation(s)

1Hefei University of Technology, Hefei, China

2Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation

Abstract

Data mining is a core component of the digital age, especially in the real estate industry, where both home buyers and developers need a large amount of data analytics to support their decisions. Usually, buyers see a wide range of brands as well as different types and prices are extraordinarily confused, in today's serious inflation, home buyers are generally insufficient budget, so how to use a lower price to buy a preferred housing is an urgent matter. In this paper, we use descriptive statistical analysis to analyze the current offerings of 231 developers in Hefei, Anhui Province, and the results can be used as a reference for home buyers to purchase properties.

Keywords

Data-Mining, Descriptive Statistical Analysis, Property Developer, Homebuyer, Hefei City, Anhui Province

Cite This Paper

Menglei Liu, Xiaowen Yu. Data-Mining Algorithms on the Basis of House Prices. Academic Journal of Business & Management (2025), Vol. 7, Issue 6: 1-6. https://doi.org/10.25236/AJBM.2025.070601.

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