首页> 外文会议>International Conference on Intelligent Human Computer Interaction >Fraudulent Practices in Dispensing Units and Remedies
【24h】

Fraudulent Practices in Dispensing Units and Remedies

机译:分配单位和补救措施的欺诈行为

获取原文

摘要

Growth of Artificial Intelligence and its rational thought "doing things right" makes handling fraudulent detection practices by implementing Machine Learning and Deep Learning methods. The detection needs to analyze regular patterns with its anomalies that are easy and speedy manner by machine than human cognitive process. The humans perceive and predict suspicious situation but machines analyze and detect. Analyzing regular patterns to anomalies enable machine to detect rationally than human inspections in various data. Hence human cognition capabilities incorporating in machine is trend of technology to prevent fraudulent practice. This work explores re-engineering on discovering fraudulent practice in dispensing unit. Initially short delivering is established, understand dispensing unit in the retail outlet of Petroleum products in responding to short volume, which is used for fraudulent practice and triggering methods. Then explored concepts are structured as theory for the short delivery which is to propose the secure system to prevent fraud.
机译:人工智能的成长及其理性思想“做正确的”通过实施机器学习和深度学习方法来处理欺诈性检测实践。检测需要分析规则模式,其异常通过机器比人类认知过程轻松快捷的方式。人类感知和预测可疑情况,但机器分析和检测。分析对异常的规则模式使机器能够在各种数据中的人工检查中检测合理。因此,在机器中采用的人类认知能力是防止欺诈性实践的技术趋势。这项工作探讨了在分配单位中发现欺诈性做法的重新工程。最初建立了短暂的交付,了解石油产品零售店的分配单元,以应对短量,用于欺诈性实践和触发方法。然后探索的概念被构造为简短交付的理论,即提出安全系统以防止欺诈。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号