A unified framework for sparse online learning

• Main Authors: ZHAO, Peilin, WONG, Dayong, WU, Pengcheng, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Online learning; sparse learning; classification; cost-sensitive learning; Databases and Information Systems; Data Science; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5957; https://ink.library.smu.edu.sg/context/sis_research/article/6960/viewcontent/UnitedFrameworkSOL_2020_av.pdf
• Institution: Singapore Management University

The amount of data in our society has been exploding in the era of big data. This article aims to address several open challenges in big data stream classification. Many existing studies in data mining literature follow the batch learning setting, which suffers from low efficiency and poor scalabili...