1. LEARNING IN EXTREME CONDITIONS: ONLINE AND ACTIVE LEARNING WITH MASSIVE, IMBALANCED AND NOISY DATA Open Access Author: Ertekin, Seyda Title: LEARNING IN EXTREME CONDITIONS: ONLINE AND ACTIVE LEARNING WITH MASSIVE, IMBALANCED AND NOISY DATA Graduate Program: Computer Science and Engineering Keywords: Machine LearningOnline LearningActive LearningSupport Vector MachinesClassificationData Mining File: Download SeydaErtekin_Dissertation.pdf Committee Members: C Lee Giles, Dissertation Advisor/Co-AdvisorC Lee Giles, Committee Chair/Co-ChairLeon Bottou, Committee MemberRaj Acharya, Committee MemberJia Li, Committee MemberTracy Mullen, Committee Member