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Setting Crunchbase for Data Science: Preprocessing, Data Integration and Feature Engineering

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Setting Crunchbase for Data Science: Preprocessing, Data Integration and Feature Engineering

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Ferrati, F.; Muffatto, M. (2020). Setting Crunchbase for Data Science: Preprocessing, Data Integration and Feature Engineering. Editorial Universitat Politècnica de València. 221-229. https://doi.org/10.4995/CARMA2020.2020.11633

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148975

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Title: Setting Crunchbase for Data Science: Preprocessing, Data Integration and Feature Engineering
Author: Ferrati, Francesco Muffatto, Moreno
Issued date:
Abstract:
[EN] In order to support equity investors in their decision-making process, researchers are exploring the potential of machine learning algorithms to predict the financial success of startup ventures. In this context, a ...[+]
Subjects: Web data , Internet data , Big data , Qca , Pls , Sem , Conference , Crunchbase , Startup , Investments , Feature engineering , Data mining , Machine learning
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490488324
DOI: 10.4995/CARMA2020.2020.11633
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11633
Conference name: CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: Julio 08-09,2020
Type: Capítulo de libro Comunicación en congreso

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