Chapter 22
Active Learning: A Survey
Charu C. Aggarwal
IBM T. J. Watson Research CenterYorktown Heights, NY charu@us.ibm.com
Xiangnan Kong
University of Illinois at ChicagoChicago, IL xkong4@uic.edu
Quanquan Gu
University of Illinois at Urbana-ChampaignUrbana, IL qgu3@illinois.edu
Jiawei Han
University of Illinois at Urbana-ChampaignUrbana, IL hanj@illinois.edu
Philip S. Yu
University of Illinois at ChicagoChicago, IL psyu@uic.edu
22.1 Introduction
One of the great challenges in a wide variety of learning problems is the ability to obtain sufficient labeled data for modeling purposes. Labeled data is often expensive to obtain, and frequently requires laborious human effort. In many domains, unlabeled data is copious, though labels can be attached ...
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