February 11, 2018 Dataset Open Access

Koncar, Philipp

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">outlier detection</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">synthetic</subfield>
  </datafield>
  <controlfield tag="005">20200124192607.0</controlfield>
  <controlfield tag="001">1171077</controlfield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">1010333</subfield>
    <subfield code="z">md5:c49cec605364d14f323addd11d649733</subfield>
    <subfield code="u">https://zenodo.org/record/1171077/files/synthetic.zip</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2018-02-11</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="o">oai:zenodo.org:1171077</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Koncar, Philipp</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Synthetic Dataset for Outlier Detection</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;This synthetically generated dataset can be used to evaluate outlier detection algorithms. It has 10 attributes and 1000 observations, of which 100 are&amp;nbsp;labeled as outliers. Two-dimensional combinations of attributes form differently shaped clusters.&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Attribute 0 &amp;amp; Attribute&amp;nbsp;1: Two circular clusters&lt;/li&gt;
	&lt;li&gt;Attribute&amp;nbsp;2 &amp;amp; Attribute&amp;nbsp;3: Two banana shaped clusters&lt;/li&gt;
	&lt;li&gt;Attribute&amp;nbsp;4 &amp;amp; Attribute&amp;nbsp;5: Three point clouds&lt;/li&gt;
	&lt;li&gt;Attribute&amp;nbsp;6 &amp;amp; Attribute&amp;nbsp;7: Two point clouds with variances&lt;/li&gt;
	&lt;li&gt;Attribute&amp;nbsp;8 &amp;amp; Attribute&amp;nbsp;9: Three anisotropic shaped clusters.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The &amp;quot;outlier&amp;quot; column states whether an observation is an outlier or not. Additionally, the .zip file contains 10 stratified randomized train test splits (70% train, 30% test).&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.1171076</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.1171077</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>