Beta
ManageSearchChatDiscover
339928

HousePrice_ML: An Efficient Framework for House Price Prediction Using Soft Computing

Article

Last updated: 03 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

Predicting housing prices is important to many people, such as home buyers, real estate agents, and investors. By harnessing the power of machine learning models, this paper aims to develop a highly efficient system to calculate reliable housing price forecasts. The results of this research can facilitate decision-making processes, enable more informed investments, and improve the overall buying and selling experience in the real estate market. The relationship between house prices and the economy is an important motivating factor for predicting house prices. This paper focuses on how to predict housing prices using machine learning techniques. This paper proposes an efficient framework For prediction houses using six machine learning algorithms ( SVM, Tree, Neural Network, KNN, Linear Regression, Gradient Boosting). In best model 1, the number of fields equals Gradient Boosting; in best model 2, the number of fields equals Linear Regression; in Best model 3 number of fields equals Gradient Boosting. The best all model equal model 2 equal Linear Regression.

DOI

10.21608/jocc.2024.339928

Keywords

House price Prediction, Machine Learning, Artificial Intellgience, Linear Regression

Authors

First Name

Maged

Last Name

Farouk

MiddleName

-

Affiliation

Department of Business Information Systems, Faculty of Business, Alamein International University, Alamein, Egypt

Email

melsayed@aiu.edu.eg

City

Alamein

Orcid

-

First Name

Nashwa

Last Name

Shaker

MiddleName

-

Affiliation

Department of Business Information Systems, Faculty of Business, Alamein International University, Alamein, Egypt

Email

nragab@aiu.edu.eg

City

Alamein

Orcid

-

First Name

Diaa

Last Name

AbdElminaam

MiddleName

s

Affiliation

Department of Data Science , Faculty of Computer Science , Misr International University , Cairo , Egypt

Email

diaa.salama@miuegypt.edu.eg

City

-

Orcid

0000-0002-1544-9906

First Name

Omnia

Last Name

Elrashidy

MiddleName

-

Affiliation

Department of Business Information Systems, Faculty of Business, Alamein International University, Alamein, Egypt

Email

oelrashidy@aiu.edu.eg

City

Alamein

Orcid

-

First Name

Mostafa

Last Name

Mahmoud

MiddleName

-

Affiliation

Department of Accounting and information System, Faculty of Business, Alamein International University, Alamein, Egypt

Email

mostafa.taha.2023@aiu.edu.eg

City

-

Orcid

-

First Name

Omar

Last Name

Mandour

MiddleName

-

Affiliation

Department of Accounting and information System, Faculty of Business, Alamein International University, Alamein, Egypt

Email

omar.samir.2023@aiu.edu.eg

City

-

Orcid

-

First Name

Hussien

Last Name

Walid

MiddleName

-

Affiliation

Department of Accounting and information System, Faculty of Business, Alamein International University, Alamein, Egypt

Email

hussien.alhussieny.2023@aiu.edu.eg

City

-

Orcid

-

First Name

Ali

Last Name

Mohamed

MiddleName

-

Affiliation

Department of Accounting and information System, Faculty of Business, Alamein International University, Alamein, Egypt

Email

ali.kassem.2023@aiu.edu.eg

City

Alamein

Orcid

-

First Name

Ibrahim

Last Name

Hossam

MiddleName

-

Affiliation

Department of Accounting and information System, Faculty of Business, Alamein International University, Alamein, Egypt

Email

-

City

Alamein

Orcid

-

First Name

Abdelrahman

Last Name

Ehab

MiddleName

-

Affiliation

Department of Accounting and information System, Faculty of Business, Alamein International University, Alamein, Egypt

Email

abdelrahman.amin.2023@aiu.edu.eg

City

-

Orcid

-

First Name

Reda

Last Name

Elazab

MiddleName

-

Affiliation

Department of Business Information Systems, Faculty of Business, Alamein International University, Alamein, Egypt

Email

relazab@aiu.edu.eg

City

Alamein

Orcid

-

Volume

3

Article Issue

1

Related Issue

45956

Issue Date

2024-01-01

Receive Date

2024-01-08

Publish Date

2024-02-04

Page Start

104

Page End

115

Online ISSN

2636-3577

Article File

JOCC_Volume 3_Issue 1_Pages 104-115.pdf

PDF . 881.2kB

Link

https://jocc.journals.ekb.eg/article_339928.html

Detail API

https://jocc.journals.ekb.eg/service?article_code=339928

Order

8

Type

Original Article

Type Code

731

Publication Type

Journal

Publication Title

Journal of Computing and Communication

Publication Link

https://jocc.journals.ekb.eg/

MainTitle

HousePrice_ML: An Efficient Framework for House Price Prediction Using Soft Computing

Details

Type

Article

Created At

24 Dec 2024