Data Mining and Soft Computing in Business Model for Decision Support System

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Tool</td><td class="align_center">Advantage</td><td class="align_center">Disadvantage</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">GIS spatial analysis</td><td class="align_center">Helps in reading the characteristic of various places</td><td class="align_center">It is costly to install.</td></tr><tr><td class="align_left">Adaptive boosting</td><td class="align_center">It effectively classifies text and images.</td><td class="align_center">Conducting binary classification is difficult.</td></tr><tr><td class="align_left">Data preprocessing</td><td class="align_center">Eliminates redundancy of data</td><td class="align_center">It is prone to bugs</td></tr><tr><td class="align_left">Clustering</td><td class="align_center">Contains greater scalability</td><td class="align_center">It is difficult to recover in case the database fails</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Advantages and disadvantages of current tool.</div>

Scientific Programming

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Table 2

Table 2: Data Mining and Soft Computing in Business Model for Decision Support System 