Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources

通过异构源联合数据挖掘实现智能 CRM

• 批准号: LP150101058
• 负责人: Prof Elizabeth Chang
• 金额: $ 12.92万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP150101058
• 关键词: Intelligent; CRM; through; Conjoint; Data

This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XML profiles for the different data sets and business processes, novel techniques for conjoint mining of structured and semi-structured data, and adaptive business intelligence techniques. The results will be validated using large real-world data sets provided by the partner organisation.

该项目旨在研究和开发技术，以改善公共和私人组织的客户关系管理（CRM）。它旨在开发一个智能框架，以协助适应性营销和客户管理。该框架旨在管理多个信息资源，以实现信息共享，并通过可视化综合知识。预期的成果是标准化的XML配置文件的不同的数据集和业务流程，新的技术联合挖掘的结构化和半结构化的数据，和自适应的商业智能技术。将使用合作伙伴组织提供的大型真实世界数据集验证结果。