Mining complex concurrency relationship patterns for dynamic customer/asset interaction modelling through novel industrial behaviour networks

通过新颖的工业行为网络挖掘复杂的并发关系模式，以进行动态客户/资产交互建模

• 批准号: LP120100566
• 负责人: Prof Chengqi Zhang
• 金额: $ 27.21万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2012
• 资助国家: 澳大利亚
• 起止时间: 2012-01-01 至 2015-05-02
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP120100566
• 关键词: Mining; complex; concurrency; relationship; patterns

This project will develop novel data mining algorithms to model the evolution of concurrency relationships between customers and assets. It will take into account multiple aspect factors for a business such as seasonality, government policy, and other external events, for making fast, accurate, and efficient business decisions.

这个项目将开发新的数据挖掘算法来模拟客户和资产之间并发关系的演变。它将考虑企业的多方面因素，如季节性，政府政策和其他外部事件，以做出快速，准确和有效的商业决策。