HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture
Summary
HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture is a scholarly article[1].
Key Facts
HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/hoba-a-novel-feature-engineering-methodology-for-credit-card-fraud-detection-with-a-deep-learning-architecture
MLA“HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hoba-a-novel-feature-engineering-methodology-for-credit-card-fraud-detection-with-a-deep-learning-architecture.
BibTeX@misc{4ortxyz_hoba-a-novel-feature-engineering-methodology-for-credit-card-fraud-detection-with-a-deep-learning-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture}}, year = {2026}, url = {https://4ort.xyz/entity/hoba-a-novel-feature-engineering-methodology-for-credit-card-fraud-detection-with-a-deep-learning-architecture}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture — https://4ort.xyz/entity/hoba-a-novel-feature-engineering-methodology-for-credit-card-fraud-detection-with-a-deep-learning-architecture (retrieved 2026-05-24)