Learning in the presence of change: challenges and algorithms for data stream mining

在变化中学习：数据流挖掘的挑战和算法

• 批准号: RGPIN-2018-04047
• 负责人: Viktor, Herna
• 金额: $ 2.04万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=735486
• 关键词: Learning; presence; change; challenges; algorithms; Learning; presence; change; challenges; algorithms

big data; class imbalance; cost-sensitive learning; data integration; data stream mining; emerging concepts; incremental adaptive algorithms; machine learning; online learning; resource aware adaptation

大数据；阶级失衡；成本敏感的学习；数据集成；数据流挖掘；新兴概念；增量自适应算法；机器学习；在线学习；资源意识适应