• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Artificial Intelligence for Good >Innovative Multi-Step Anomaly Detection Algorithm with Real-World Implementation: Case Study in Supply Chain Management
【24h】

Innovative Multi-Step Anomaly Detection Algorithm with Real-World Implementation: Case Study in Supply Chain Management

机译：具有现实世界实施的创新多步异常检测算法：供应链管理案例研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In all information systems it is very important to operate with correct information. Incorrect information can lead to many problems that can cause direct financial and reputation loss of the company. Data used by the system can be gathered by sensors, scripts or by hand. In all those cases, mistakes are possible. It is important to detect mistakes on time and stop them from propagating further into the system. In this paper, a novel multi-step anomaly detection algorithm based on the greatest common divisor and median value is described. The algorithm for anomaly detection in historical sales data is used as a part of the smart warehouse management system which is implemented in some of the largest distribution companies in Bosnia and Herzegovina. The algorithm showed significant results in anomaly detection on company orders and improved a number of processes in the operation of the smart warehouse management system. The algorithm described can also be used in other areas where the transaction data is collected, such as sales and banking,
机译：在所有的信息系统，它正确的信息进行操作是非常重要的。不正确的信息可能会导致许多问题，可能会导致该公司的直接的财务和声誉损失。由系统使用的数据可以通过传感器，脚本或手工来收集。在所有这些情况下，错误是可能的。它检测的时间错误，并进一步传播到系统中阻止他们是很重要的。在本文中，一种新颖的多步异常检测算法基于所述最大公约数与中间值进行说明。在历史销售数据异常检测算法作为其在一些最大的流通企业在波斯尼亚和黑塞哥维那实现智能仓储管理系统的一部分。该算法显示在公司的订单异常检测显著成果，在智能仓库管理系统的操作改进了一些工艺。描述也可以在其中的交易数据被收集其它领域，例如销售和银行使用的算法，

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