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  <front>

    <journal-meta>

      <journal-title>Information Technology Journal</journal-title>

      <issn pub-type="ppub">1812-5638</issn>

      <issn pub-type="epub">1812-5646</issn>

      <publisher>

        <publisher-name>Asian Network for Scientific Information</publisher-name>

      </publisher>

    </journal-meta>


    <article-meta>

      <article-id pub-id-type="doi">10.3923/itj.2012.508.511</article-id>


      <title-group>

        <article-title><![CDATA[An Analysis of Teaching Quality and Employment Status Based on Rough Set]]></article-title>

      </title-group>


      <contrib-group>

        <contrib contrib-type="author" xlink:type="simple">


          <name name-style="western">

            <surname>Shunxin</surname>

            <given-names>Li</given-names>

          </name>


          <name name-style="western">

            <surname>Changhong</surname>

            <given-names>Wang</given-names>

          </name>


        </contrib>

      </contrib-group>


      <pub-date pub-type="collection">


        <month>4</month>




        <year>2012</year>

      </pub-date>


      <volume>11</volume>

      <issue>4</issue>


      <abstract><![CDATA[<p>With the popularization of higher education, the employment status of college graduates has become a social hot spot issue. This study extracts the information of teaching quality and employment status of colleges and universities by using data mining technology based on rough set theory. By analyzing the influence of various aspects in teaching upon employment status, this paper learns relevant rules and establishes an evaluation model.</p>]]></abstract>


    </article-meta>

  </front>


  <ref-list>




      <ref id="854952">

        <label>1</label>

        <citation citation-type="journal" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Wu, S.Z. and P.Z. Gou,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>2011</year>

          <article-title><![CDATA[Attribute reduction algorithm on rough set and information entropy and its application.]]></article-title>

          <source>Comput. Eng.,</source>

          <volume>37</volume>

          <fpage>56</fpage>

          <lpage>58</lpage>

        </citation>

      </ref>


















      <ref id="854780">

        <label>2</label>

        <citation citation-type="journal" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Xu, F.F, D.Q. Miao, L. Wei, Q.R. Feng and Y.S. Bi,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>2008</year>

          <article-title><![CDATA[Algorithm for fuzzy-rough attribute reduction.]]></article-title>

          <source>J. Electron. Inform. Technol.,</source>

          <volume>6</volume>

          <fpage>1372</fpage>

          <lpage>1375</lpage>

        </citation>

      </ref>


















      <ref id="854803">

        <label>3</label>

        <citation citation-type="journal" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Chang, L.Y., G.Y. Wang and Y. Wu,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>1999</year>

          <article-title><![CDATA[An approach for attribute reduction and rule generation based on rough set theory.]]></article-title>

          <source>J. Software,</source>

          <volume>10</volume>

          <fpage>1206</fpage>

          <lpage>1211</lpage>

        </citation>

      </ref>
























      <ref id="34496">

        <label>4</label>

        <citation citation-type="conference" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Jensen, R. and Q. Shen,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>2002</year>

          <article-title><![CDATA[Fuzzy-rough sets for descriptive dimensionality reduction.]]></article-title>

          <source>Proceedings of the IEEE International Conference on Fuzzy Systems,</source>

          <volume>2002</volume>

          <fpage>pp: 29</fpage>

          <lpage>34</lpage>

        </citation>

      </ref>












      <ref id="854900">

        <label>5</label>

        <citation citation-type="journal" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Witlox, F. and H. Tindemans,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>2004</year>

          <article-title><![CDATA[The application of rough sets analysis in activity-based modeling: Opportunities and constraints.]]></article-title>

          <source>Expert Syst. Applic.,</source>

          <volume>27</volume>

          <fpage>585</fpage>

          <lpage>592</lpage>

        </citation>

      </ref>


















      <ref id="854908">

        <label>6</label>

        <citation citation-type="journal" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Amitava, R. and K.P. Sankar,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>2003</year>

          <article-title><![CDATA[Fuzzy discretization of feature space for a rough set classifier.]]></article-title>

          <source>Pattern Recogn. Lett.,</source>

          <volume>24</volume>

          <fpage>895</fpage>

          <lpage>902</lpage>

        </citation>

      </ref>


















      <ref id="854918">

        <label>7</label>

        <citation citation-type="journal" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Yan, Y. and H.Z. Yang,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>2007</year>

          <article-title><![CDATA[Konwledge reduction algorithm based on mutual information.]]></article-title>

          <source>J. Tsinghua Univ. (Sci. Technol.),</source>

          <volume>47</volume>

          <fpage>1903</fpage>

          <lpage>1906</lpage>

        </citation>

      </ref>


















      <ref id="854932">

        <label>8</label>

        <citation citation-type="journal" xlink:type="simple">

          <person-group person-group-type="author">

            <name name-style="western">

              <surname>Jiang, L.M., L. Junhui, L. Mengqiang and L. Junhui,</surname>

              <given-names></given-names>

            </name>

          </person-group>

          <year>2010</year>

          <article-title><![CDATA[Evaluation model of CMIS based on rough set.]]></article-title>

          <source>Distance Educ. China,</source>

          <volume>10</volume>

          <fpage>66</fpage>

          <lpage>69</lpage>

        </citation>

      </ref>
















  </ref-list>

</article>

