基础(拓扑)
客户群
计算机科学
可扩展性
数据挖掘
选择(遗传算法)
数据库
运筹学
人工智能
营销
业务
数学
数学分析
作者
Daniel McCarthy,Elliot Shin Oblander
出处
期刊:Marketing Science
[Institute for Operations Research and the Management Sciences]
日期:2021-05-01
卷期号:40 (3): 459-480
被引量:3
标识
DOI:10.1287/mksc.2020.1259
摘要
A computationally scalable, statistically efficient aggregate-disaggregate data fusion method that corrects for selection bias is applied to model customer relationship dynamics at a subscription-based firm.
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