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2014-2015 University Catalog
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SYST 584 - Heterogeneous Data FusionCredits: 3 (NR)
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.
Prerequisite(s): STAT 515 or STAT 544.
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Fall
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