MODELING LARGE-SCALE CROSS EFFECT IN CO-PURCHASE INCIDENCE: COMPARING ARTIFICIAL NEURAL NETWORK TECHNIQUES AND MULTIVARIATE PROBIT MODELING

MODELING LARGE-SCALE CROSS EFFECT IN CO-PURCHASE INCIDENCE: COMPARING ARTIFICIAL NEURAL NETWORK TECHNIQUES AND MULTIVARIATE PROBIT MODELING

This dissertation examines cross-category effects in consumer purchases from the big data and analytics perspectives. It uses data from Nielsen Consumer Panel and Scanner databases for its investigations. With big data analytics it becomes possible to examine the cross effects of many product catego...

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Bibliographic Details
Main Author: Yang, Zhiguo
Format: Others
Published: UKnowledge 2015
Subjects:
Cross category
Co-purchase
Large scale analysis
Multivariate probit model
Artificial neural network
Business Intelligence
Management Information Systems
Management Sciences and Quantitative Methods
Marketing
Online Access:http://uknowledge.uky.edu/busadmin_etds/6
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1007&context=busadmin_etds

Internet

http://uknowledge.uky.edu/busadmin_etds/6
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1007&context=busadmin_etds

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