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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling">
  <title><![CDATA[Understanding Cybersecurity Threat Trends through Dynamic Topic Modeling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling</link>
  <description><![CDATA[Cybersecurity threats continue to increase and are impacting almost all aspects of modern life. Being aware of how vulnerabilities and their exploits are changing gives helpful insights into combating new threats. Applying dynamic topic modeling to a timestamped cybersecurity document collection shows how the significance and details of concepts found in them are evolving.  We correlate two different temporal corpora, one with reports about specific exploits and another with research-oriented...]]></description>
  <dc:date>2021-06-01</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/815/Dynamic-Data-Assimilation-for-Topic-Modeling-DDATM-">
  <title><![CDATA[Dynamic Data Assimilation for Topic Modeling (DDATM)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/815/Dynamic-Data-Assimilation-for-Topic-Modeling-DDATM-</link>
  <description><![CDATA[Understanding how a particular discipline such as climate science evolves over time has received renewed interest. By understanding this evolution, predicting the future direction of the discipline becomes more achievable. Dynamic Topic Modeling (DTM) has been applied to a number of disciplines to model topic evolution as a means to learn how a particular scientific discipline and its underlying concepts are changing. Understanding how a discipline evolves, and its internal and external influ...]]></description>
  <dc:date>2017-07-31</dc:date>
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  <title><![CDATA[Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/770/Modeling-the-Evolution-of-Climate-Change-Assessment-Research-Using-Dynamic-Topic-Models-and-Cross-Domain-Divergence-Maps</link>
  <description><![CDATA[Climate change is an important social issue and the subject of much research, both to understand the history of the Earth's changing climate and to foresee what changes to expect in the future. Approximately every five years, starting in 1990, the Intergovernmental Panel on Climate Change (IPCC) publishes a set of reports that cover the current state of climate change research, how this research will impact the world, risks, and approaches to mitigate the effects of climate change. Each repor...]]></description>
  <dc:date>2017-03-27</dc:date>
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  <title><![CDATA[SQL-like big data environments: Case study in clinical trial analytics]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/745/SQL-like-big-data-environments-Case-study-in-clinical-trial-analytics</link>
  <description><![CDATA[Big Data deals with enormous volumes of complex and exponentially growing data sets from multiple sources. With rapid growth in technology, we are now able to generate immense amount of data in almost any field imaginable including physical, biological and biomedical sciences. With the diversity and amount of data in health care industry there is an increasing need to evaluate the components in big data frameworks and gauge their adaptability to analytics techniques. However, a key step in ad...]]></description>
  <dc:date>2015-11-30</dc:date>
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