MARC보기
LDR02280nam u200457 4500
001000000421670
00520190215165514
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438117266
035 ▼a (MiAaPQ)AAI10822061
035 ▼a (MiAaPQ)northwestern:14183
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 658
1001 ▼a Nathan, Alexandros.
24510 ▼a Essays in Machine Learning, Social Networks and Marketing.
260 ▼a [S.l.]: ▼b Northwestern University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 125 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Noshir Contractor.
5021 ▼a Thesis (Ph.D.)--Northwestern University, 2018.
520 ▼a This thesis is organized into two distinct parts
520 ▼a The 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
520 ▼a The 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.
520 ▼a In 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
590 ▼a School code: 0163.
650 4 ▼a Industrial engineering.
650 4 ▼a Artificial intelligence.
650 4 ▼a Marketing.
690 ▼a 0546
690 ▼a 0800
690 ▼a 0338
71020 ▼a Northwestern University. ▼b Industrial Engineering and Management Sciences.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0163
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998441 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033