Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/91224 |
Resumo: | Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management |
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7160 |
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Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startupReal EstatePredictive modelData miningDays on marketLASSO regressionProject 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.Henriques, Roberto André PereiraCastelli, MauroRUNDobreva, Maria Lubomirova2020-01-15T16:06:21Z2019-12-182019-12-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/91224TID:202366570enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:40:32Zoai:run.unl.pt:10362/91224Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:18.104950Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup |
title |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup |
spellingShingle |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup Dobreva, Maria Lubomirova Real Estate Predictive model Data mining Days on market LASSO regression |
title_short |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup |
title_full |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup |
title_fullStr |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup |
title_full_unstemmed |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup |
title_sort |
Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup |
author |
Dobreva, Maria Lubomirova |
author_facet |
Dobreva, Maria Lubomirova |
author_role |
author |
dc.contributor.none.fl_str_mv |
Henriques, Roberto André Pereira Castelli, Mauro RUN |
dc.contributor.author.fl_str_mv |
Dobreva, Maria Lubomirova |
dc.subject.por.fl_str_mv |
Real Estate Predictive model Data mining Days on market LASSO regression |
topic |
Real Estate Predictive model Data mining Days on market LASSO regression |
description |
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-18 2019-12-18T00:00:00Z 2020-01-15T16:06:21Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/91224 TID:202366570 |
url |
http://hdl.handle.net/10362/91224 |
identifier_str_mv |
TID:202366570 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137989674139648 |