Enhancing Regression-based Analytics for Addressing Applied Research Needs in Construction Engineering & Management (CEM)

增强基于回归的分析，以满足建筑工程的应用研究需求

• 批准号: RGPIN-2016-04687
• 负责人: Lu, Ming
• 金额: $ 1.97万
• 依托单位: University of Alberta
• 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=636159
• 关键词: Enhancing; Regression; based; Analytics; Addressing

Regression analysis results in simple equations to sufficiently represent the real world systems in Construction Engineering & Management (CEM), which can be effectively applied to tackle conventional “historical data” problems as well as emerging “big data” problems in connection with rapid developments in computing (mobile, social, cloud), sensor technologies, parametric design databases underlying Building Information Models (BIM), and the Internet of Things. Yet, regression has not been able to catch up with rapid technology advances and practical application needs.

回归分析得到的简单方程式可以充分代表建筑工程与管理(CEM)中的真实世界系统，这些方程式可有效地用于解决与计算(移动、社交、云)、传感器技术、建筑信息模型(BIM)和物联网相关的快速发展的传统“历史数据”问题和新出现的“大数据”问题。然而，回归已经跟不上快速的技术进步和实际应用的需要。