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Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup

dc.contributor.advisorHenriques, Roberto André Pereira
dc.contributor.advisorCastelli, Mauro
dc.contributor.authorDobreva, Maria Lubomirova
dc.date.accessioned2020-01-15T16:06:21Z
dc.date.available2020-01-15T16:06:21Z
dc.date.issued2019-12-18
dc.descriptionProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Managementpt_PT
dc.description.abstractThis 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.pt_PT
dc.identifier.tid202366570pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/91224
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectReal Estatept_PT
dc.subjectPredictive modelpt_PT
dc.subjectData miningpt_PT
dc.subjectDays on marketpt_PT
dc.subjectLASSO regressionpt_PT
dc.titleData-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startuppt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Gestão de Informação, especialização em Gestão de Sistemas e Tecnologias de Informaçãopt_PT

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