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Essays in Machine Learning, Social Networks and Marketing

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서명/저자사항Essays in Machine Learning, Social Networks and Marketing.
개인저자Nathan, Alexandros.
단체저자명Northwestern University. Industrial Engineering and Management Sciences.
발행사항[S.l.]: Northwestern University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항125 p.
기본자료 저록Dissertation Abstracts International 79-11B(E).
Dissertation Abstract International
ISBN9780438117266
학위논문주기Thesis (Ph.D.)--Northwestern University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Noshir Contractor.
요약This thesis is organized into two distinct parts
요약The motivation for the first chapter is that in recent years, the size of data sets has exceeded the disk and memory capacities of a single computer. This has created the need to employ parallel and distributed computing in order to perform crit
요약The second and third chapters address two fundamental problems in marketing: customer retention, and product adoption, respectively. In the second chapter, we explore the power of social networks in predicting non-contractual customer behavior.
요약In the third chapter, using the same data set as in the second chapter, we investigate the structural aspects behind the adoption of Venmo. The most distinct quality of our data set is that Venmo transactions reflect offline activities combined
일반주제명Industrial engineering.
Artificial intelligence.
Marketing.
언어영어
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