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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/24/Self-Organizing-Databases"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/24/Self-Organizing-Databases">
  <title><![CDATA[Self-Organizing Databases]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/24/Self-Organizing-Databases</link>
  <description><![CDATA[In modern database systems, it is common to define views of
stored data. The view mechanism provides opportunities for view
materialization, whereby a database system precomputes and stores the
tuples satisfying the view definition. To materialize the best views for
a given application, it may be necessary to invent new views. We look at
view design - the process of
automatically inventing new views - and its application to increasing
the efficiency of answering database queries. This ...]]></description>
  <dc:date>2004-04-22</dc:date>
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  <title><![CDATA[On Using a Warehouse to Analyze Web Logs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/446/On-Using-a-Warehouse-to-Analyze-Web-Logs</link>
  <description><![CDATA[Analyzing Web Logs for usage and access trends can not only provide important information to web site developers and administrators, but also help in creating adaptive web sites. While there are many existing tools that generate fixed reports from web logs, they typically do not allow ad-hoc analysis queries. Moreover, such tools cannot discover hidden patterns of access embedded in the access logs. We describe a relational OLAP (ROLAP) approach for creating a web-log warehouse. This is popul...]]></description>
  <dc:date>2003-03-01</dc:date>
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  <title><![CDATA[Warehousing and Mining Web Logs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/445/Warehousing-and-Mining-Web-Logs</link>
  <description><![CDATA[Analyzing Web Logs for usage and access trends can not only provide important information to web site developers and administrators, but also help in creating adaptive web sites. While there are many existing tools that generate fixed reports from web logs, they typically do not allow ad-hoc analysis queries. Moreover, such tools cannot discover hidden patterns of access embedded in the access logs. We describe a relational OLAP (ROLAP) approach for creating a web-log warehouse. This is popul...]]></description>
  <dc:date>1999-11-02</dc:date>
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