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Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations

Research article (Journal of the Association for Information Systems, 2021) · cited 24× · AI/ML
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Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations

Summary

Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations is a scholarly article[1].

Key Facts

  • Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-principles-for-robust-fraud-detection-the-case-of-stock-market-manipulations
MLA “Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-principles-for-robust-fraud-detection-the-case-of-stock-market-manipulations.
BibTeX @misc{4ortxyz_design-principles-for-robust-fraud-detection-the-case-of-stock-market-manipulations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations}}, year = {2026}, url = {https://4ort.xyz/entity/design-principles-for-robust-fraud-detection-the-case-of-stock-market-manipulations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations — https://4ort.xyz/entity/design-principles-for-robust-fraud-detection-the-case-of-stock-market-manipulations (retrieved 2026-05-24)

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