A carregar...
Publicação
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 2.49 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
This is a research project for applying data mining techniques on Real Estate data in cooperation with Homeheed, a startup in the area of real estate, providing a platform solution as a single source of truth in Sofia, Bulgaria. This project suggests the development of a predictive model by using LASSO regression with the premise to determine days on market. As a consequence, the discoveries are expected to contribute to the Startup by providing insights about more attractive listings, and so will support faster return on investment. Additionally, the paper provides an experimental part where misleading and fake listings are targeted in order to support fraud and real availability of a listing detection. The project’s main objectives and assumptions are that advanced statistics and information management can build such a synergy with data and business models that allows enhancement of both market entry strategy and quality of service.
Descrição
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
Real Estate Predictive model Data mining Days on market LASSO regression