Data-centric Decision Supports for Large-scale Social Network Management

以数据为中心的大规模社交网络管理决策支持

• 批准号: RGPIN-2017-05667
• 负责人: Li, Zhepeng
• 金额: $ 1.46万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636813
• 关键词: Data; centric; Decision; Supports; Large

Growing interest in the value of digital information, commonly known as data, creates opportunities to re-invent managerial machinery and lead to the changes in decision making. A much desired means to gain value from data stems from decision support (DS), which provides information that supports users and organizations in decision-making activities. To embrace the advent of big data, decision support needs to address challenges in discovering actionable knowledge when the problem scales up and uncertainty arises substantially. Data-centric approaches are advocated to cope with these issues.

对数字信息（通常称为数据）价值的兴趣日益增长，为重新发明管理机制创造了机会，并导致决策的变化。从数据中获取价值的一种非常理想的方法来自决策支持（DS），它提供支持用户和组织决策活动的信息。为了迎接大数据的到来，决策支持需要在问题扩大和不确定性大幅增加时解决发现可操作知识的挑战。提倡以数据为中心的方法来科普这些问题。