@inproceedings{03df1da244424614b9fd2e2b0fba8476,
title = "A framework of business intelligence solution for real estates analysis",
abstract = "Real estate is one of the essential and challenging fields in the market which reflects the economy, and it needs constant improvement. Business intelligence nowadays plays a significant role in enhancing the process of decision making and risk management in many different fields. One of the promising fields is the real estate investment market. This paper proposes a framework for an effective BI solution for analyzing the real estate market and estimating the price of the properties. The building of the BI solution, which passes through multiple phases is demonstrated.",
keywords = "Business Intelligence, Data Modeling and Architecture, Predictive Analytics, Price Estimation, Real Estate",
author = "Bushra Abutahoun and Maisa Alasasfeh and Salam Fraihat",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery. ACM; 2nd International Conference on Data Science, E-Learning and Information Systems, DATA 2019 ; Conference date: 02-12-2019 Through 05-12-2019",
year = "2019",
month = dec,
day = "2",
doi = "10.1145/3368691.3368730",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 2nd International Conference on Data Science, E-Learning and Information Systems, DATA 2019",
address = "United States",
}