Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges

Research article (Management Science, 2019) · cited 131× · AI/ML
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Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges

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Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges. Retrieved May 24, 2026, from https://4ort.xyz/entity/targeting-prospective-customers-robustness-of-machine-learning-methods-to-typical-data-challenges
MLA “Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/targeting-prospective-customers-robustness-of-machine-learning-methods-to-typical-data-challenges.
BibTeX @misc{4ortxyz_targeting-prospective-customers-robustness-of-machine-learning-methods-to-typical-data-challenges_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges}}, year = {2026}, url = {https://4ort.xyz/entity/targeting-prospective-customers-robustness-of-machine-learning-methods-to-typical-data-challenges}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges — https://4ort.xyz/entity/targeting-prospective-customers-robustness-of-machine-learning-methods-to-typical-data-challenges (retrieved 2026-05-24)

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