SYST 584: Heterogeneous Data Fusion
Course Information from University Catalog
Introduces the theory, design and implementation of multi-source information fusion systems in various domains. The course covers distinct technologies for combining data from multiple, heterogeneous sources and performing inferences in support to applications such as cyber security, Semantic Web, decision support systems, situational awareness, intrusion detection, crisis management, and others. The technical content is largely multi-disciplinary, encompassing disciplines such as knowledge engineering, ontologies, statistical learning, artificial intelligence, and data mining.
When Offered: Fall
Hours of Lecture or Seminar per week: 3
1 Course Sections Scheduled for Spring 2018
SYST 584 - 001: |
T; 7:20 pm - 10:00 pm