A College Student Behavior Analysis and Management Method Based on Machine Learning Technology

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Index</td><td class="align_center">Ranges</td><td class="align_center">Index description</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Average monthly consumption</td><td class="align_center">0-2000</td><td class="align_center">The total consumption per student per semester divided by the number of semester months</td></tr><tr><td class="align_left">Average monthly consumption frequency</td><td class="align_center">0-500</td><td class="align_center">The sum of consumption times per student per semester divided by the number of semester months</td></tr><tr><td class="align_left">Peak monthly consumption</td><td class="align_center">0-unknown</td><td class="align_center">Peak consumption of each student in the months of each semester</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Student consumption habit indicators.</div>

Wireless Communications and Mobile Computing

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Table 1

Table 1: A College Student Behavior Analysis and Management Method Based on Machine Learning Technology 