Surviving the Titanic tragedy: A sociological study using machine learning models

IF 0.3 Q4 BUSINESS Suma de Negocios Pub Date : 2018-07-02 DOI:10.14349/SUMNEG/2018.V9.N20.A2
Kshitiz Gupta, Prayas Sharma, Carlos N. Bouza Herreras
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Abstract

R E S U M E N Surviving the Titanic tragedy: A sociological study using machine learning models Kshitiz Gupta1, Dr. Prayas Sharma2 and Dr. Carlos N. Bouza Herreras3 1 Department of Decision Sciences, School of Business, University of Petroleum and Energy Studies, Dehradun, India. E-mail: gptkshitiz@gmail. com. ORCID: 0000-0002-0260-9501. 2 Department of Decision Sciences, School of Business, University of Petroleum and Energy Studies, Dehradun, India. (Corresponding Author) E-mail: prayassharma02@gmail.com. ORCID: 0000-0002-4828-1177. 3 Department of Applied Mathematics, University of Havana, Cuba. E-mail: cbouza2002@gmail.com. ORCID: 0000-0003-2456-2430. Received on April 24th 2018 Accepted on August 16th 2018 Available online on September 17th 2018 JEL Classification: C02, C12, D91, Q59
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从泰坦尼克号悲剧中幸存:一项使用机器学习模型的社会学研究
R E S U M E N幸存的泰坦尼克号悲剧:一个使用机器学习模型的社会学研究Kshitiz Gupta1, Prayas Sharma2博士和Carlos N. Bouza herreras博士3石油和能源研究大学商学院决策科学系,德拉邦,印度电子邮件:gptkshitiz@gmail。com。ORCID: 0000-0002-0260-9501。2印度石油与能源研究大学商学院决策科学系,印度德拉敦(通讯作者)电子邮件:prayassharma02@gmail.com。ORCID: 0000-0002-4828-1177。3古巴哈瓦那大学应用数学系;电子邮件:cbouza2002@gmail.com。ORCID: 0000-0003-2456-2430。JEL分类:co2、C12、D91、Q59
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来源期刊
Suma de Negocios
Suma de Negocios BUSINESS-
CiteScore
0.80
自引率
0.00%
发文量
5
审稿时长
8 weeks
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