Home ›
Entities
› academia
› Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine
Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine
Research article (Journal of theoretical and applied electronic commerce research, 2022) · cited 18× · AI/ML
Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine
Summary
Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine is a scholarly article[1].
Key Facts
Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/customer-response-model-in-direct-marketing-solving-the-problem-of-unbalanced-dataset-with-a-balanced-support-vector-mac
MLA“Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/customer-response-model-in-direct-marketing-solving-the-problem-of-unbalanced-dataset-with-a-balanced-support-vector-mac.
BibTeX@misc{4ortxyz_customer-response-model-in-direct-marketing-solving-the-problem-of-unbalanced-dataset-with-a-balanced-support-vector-mac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine}}, year = {2026}, url = {https://4ort.xyz/entity/customer-response-model-in-direct-marketing-solving-the-problem-of-unbalanced-dataset-with-a-balanced-support-vector-mac}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine — https://4ort.xyz/entity/customer-response-model-in-direct-marketing-solving-the-problem-of-unbalanced-dataset-with-a-balanced-support-vector-mac (retrieved 2026-05-24)
