Henriques, Roberto André PereiraCastelli, MauroDobreva, Maria Lubomirova2020-01-152020-01-152019-12-18http://hdl.handle.net/10362/91224Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThis 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.engReal EstatePredictive modelData miningDays on marketLASSO regressionmaster thesis202366570