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  <event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/28/Model-Guided-Mining-and-Discovery">
    <rdfs:label><![CDATA[Model-Guided Mining and Discovery]]></rdfs:label>
    <event:title><![CDATA[Model-Guided Mining and Discovery]]></event:title>
    <event:speaker><person:Collaborator rdf:about="http://ebiquity.umbc.edu/person/html/Rafael/Alonso/"><person:name><![CDATA[Rafael  Alonso]]></person:name><rdfs:label><![CDATA[Rafael  Alonso]]></rdfs:label></person:Collaborator></event:speaker>
    <event:startDate rdf:datatype="&xsd;dateTime">2004-04-30T15:00:00-05:00</event:startDate>
    <event:endDate rdf:datatype="&xsd;dateTime">2004-04-30T16:30:00-05:00</event:endDate>
    <event:location><![CDATA[325b ITE]]></event:location>
    <event:abstract><![CDATA[In this talk I will describe the research done at Sarnoff developing
adaptive models to tailor the behavior of search and knowledge discovery
systems to the needs of individual users. I will describe our
development of dynamically adaptive models that capture user intent and
entity behavior, and can dynamically adapt by both expanding model
content (with the aid of an ontology) and by refining measures of user
interest (based on implicit and explicit user feedback). I will describe
previous and current work in the context of several applications and
present experimental evaluation results. I will also describe how these
models are being used to develop an anomaly detection system for
surveillance applications, and outline our recent work in threat
assessment algorithms. The talk will conclude with a short description
of the commercial applications of our work.
]]></event:abstract>
    <event:host><person:PrincipalFaculty rdf:about="http://ebiquity.umbc.edu/person/html/Yelena/Yesha/"><person:name><![CDATA[Yelena  Yesha]]></person:name><rdfs:label><![CDATA[Yelena  Yesha]]></rdfs:label></person:PrincipalFaculty></event:host>
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