Housing Price Mathematical Prediction Method through Big Data Analysis and Improved Linear Regression Model
- Resource Type
- Conference
- Authors
- Yang, Xinyu; Yin, Zesheng; Li, Jiayi
- Source
- 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Telecommunications, Optics and Computer Science (TOCS), 2021 IEEE Conference on. :751-754 Dec, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Analytical models
Computational modeling
Linear regression
Urban areas
Predictive models
Market research
Mathematical models
House Price
Spark
Linear Regression
Machine Learning
- Language
Housing price prediction is a typical case of exploratory data analysis. This article takes housing prices in a certain city in the United States as an example, and uses a variety of linear models to predict and analyze the trend of housing prices. Based on Spark, we have implemented a distributed housing price prediction analysis model. Through the comparison of multiple linear models, we find out the best linear analysis model with the best prediction results.