Integrating network analysis and data mining techniques into effective framework for managing charities and donors: from data repository handling to recommendations

将网络分析和数据挖掘技术集成到管理慈善机构和捐助者的有效框架中：从数据存储库处理到建议

• 批准号: 477398-2014
• 负责人: Alhajj, Reda
• 金额: $ 4.74万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=578903
• 关键词: Integrating; network; analysis; data; mining

Charities form an essential component of a healthy society where people show their willingness to help, donate and contribute. Charities need support in order to achieve their mission of serving people in certain domains. The support may come from government agencies, private sector, or individuals. The more individuals and private sector are involved in the support, the better it will be for government agencies who will not feel the pressure to invest more in charities; instead they may shift their focus towards handling other issues which are not covered by charities. To get a balance of involvement in support to charities, there is a need for a comprehensive framework which covers all the scope from data collection and cleaning to repository construction and maintenance in order to guarantee that the data included in the repository is consistent, well integrated and up-to-date. There are various sources for the data, including government repositories, the Web, collecting data directly from charities and potential donors, among others. Donors need to know charities who are in most need. They will be able to watch the performance of specific charities over time and the level of trust in the charities. This is all possible based on the feedback mechanism that allows donors to post their reviews about charities. Further, donors may be interested in some automated recommendations which are produced based on the analysis of existing data related to others donors with similar interests. On the other hand, charities want to closely watch various donor groups as well as potential best donors to target seeking some support. Charities will also learn how other charities working in the same domain are performing. A charity will use the outcome from news and social media analysis to predict what could be the next focus, i.e., to help shifting the attention where there is more need or where the need is anticipated to emerge soon. For instance, the uprising conflict between Russia and Ukraine may require charities to add this to their agenda in order to reach people who will be directly or indirectly affected. All these aspects are to be tackled in this research project leading to an integrated framework.

慈善机构是一个健康社会的重要组成部分，人们愿意帮助，捐赠和贡献。慈善机构需要得到支持，以实现其在某些领域为人们服务的使命。支持可能来自政府机构、私营部门或个人。参与支持的个人和私营部门越多，对政府机构来说就越好，因为他们不会感到在慈善机构上投资更多的压力;相反，他们可能会将重点转向处理慈善机构不涵盖的其他问题。为了平衡参与对慈善机构的支持，需要有一个全面的框架，涵盖从数据收集和清理到储存库建设和维护的所有范围，以保证储存库中的数据是一致的、完整的和最新的。这些数据有各种来源，包括政府数据库、网络、直接从慈善机构和潜在捐助者收集数据等。捐助者需要知道谁是最需要的慈善机构。他们将能够观察特定慈善机构随着时间的推移的表现以及对慈善机构的信任程度。这一切都是可能的，因为反馈机制允许捐赠者发布他们对慈善机构的评论。此外，捐赠者可能对一些自动化推荐感兴趣，这些自动化推荐是基于对与具有类似兴趣的其他捐赠者相关的现有数据的分析而产生的。另一方面，慈善机构希望密切关注各种捐助团体以及潜在的最佳捐助者，以寻求一些支持。慈善机构还将了解在同一领域工作的其他慈善机构的表现。慈善机构将利用新闻和社交媒体分析的结果来预测下一个焦点，即，帮助将注意力转移到更有需要或预计很快会出现需要的地方。例如，俄罗斯和乌克兰之间的起义冲突可能需要慈善机构将此添加到他们的议程中，以便接触到直接或间接受影响的人。所有这些方面都将在这个研究项目中得到解决，从而形成一个综合框架。