High-dimensional Data Stream Classification via Sparse Online Learning

• Main Authors: WANG, Dayong, WU, Pengcheng, ZHAO, Peilin, WU, Yue, MIAO, Chunyan, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: data stream classification; online learning; sparse; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2646; https://ink.library.smu.edu.sg/context/sis_research/article/3646/viewcontent/High_d_data_stream_SO_2014_ICDM_afv.pdf
• Institution: Singapore Management University

The amount of data in our society has been exploding in the era of big data today. In this paper, we address several open challenges of big data stream classification, including high volume, high velocity, high dimensionality, and high sparsity. Many existing studies in data mining literature solve...