chapter  10
Big Data Classification Hanghang Tong
Pages 12

These new characteristics of big data have brought new challenges and opportunities for classification algorithms. For example, to address the challenge of velocity, on-line streaming classification algorithms have been proposed (please refer to the previous chapter for details); in order to address the challenge of variety, the so-called heterogeneous machine learning has been emerging, including multi-view classification for data heterogeneity, transfer learning and multi-task classification for classification task heterogeneity, multi-instance learning for instance heterogeneity, and

classification with crowd-sourcing for oracle heterogeneity; in order to address the challenge of volume, many efforts have been devoted to scaling up classification algorithms.