@article{jr._2010, 
  title={Identity Analytics And Belief Structures}, 
  DOI={10.19030/jber.v8i6.731}, 
  abstractNote={<jats:p>&lt;p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"&gt;&lt;span style="color: black; font-size: 10pt; mso-themecolor: text1;"&gt;&lt;span style="font-family: Times New Roman;"&gt;Personal identity is an important topic in information systems in general and data analytics in particular.&lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp; &lt;/span&gt;Normally associated with digital security and privacy, the scope of identity is much greater and affects most aspects of everyday life.&lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp; &lt;/span&gt;Related subjects are behavioral tracking, personal-identifiable information (PII), privacy data relevance, data repurposing, identity theft, and homeland security.&lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp; &lt;/span&gt;The purpose of this paper is to establish a context for using analytics to combine evidence to categorize certain subjects based on belief structures.&lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp; &lt;/span&gt;&lt;span style="mso-spacerun: yes;"&gt;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</jats:p>}, 
  publisher={Clute Institute}, 
  author={Jr.}, 
  year={2010}, 
  month={Dec}
  }