A Method for Entity Resolution in High Dimensional Data Using Ensemble Classifiers

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset</td><td class="align_center">Dimension</td><td class="align_center">Matches</td><td class="align_center">Nonmatches</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Colon_ER</td><td class="align_center">2000</td><td class="align_center">176</td><td class="align_center">880</td></tr><tr><td class="align_left">GLIOMA_ER</td><td class="align_center">4434</td><td class="align_center">200</td><td class="align_center">1000</td></tr><tr><td class="align_left">GLI_85_ER</td><td class="align_center">22283</td><td class="align_center">200</td><td class="align_center">1000</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Characteristics of experimental datasets.

Mathematical Problems in Engineering

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Table 2

Table 2: A Method for Entity Resolution in High Dimensional Data Using Ensemble Classifiers 