Detecting Persistent User Behavior Using Probabilistic Counting in Network-Wide View

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Timeslot</td><td class="align_center">1</td><td class="align_center">2</td><td class="align_center">3</td><td class="align_center">4</td><td class="align_center">5</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">CDD</td><td class="align_center">375</td><td class="align_center">316</td><td class="align_center">288</td><td class="align_center">225</td><td class="align_center">173</td></tr><tr><td class="align_left">Timeslot</td><td class="align_center">10</td><td class="align_center">20</td><td class="align_center">30</td><td class="align_center">40</td><td class="align_center">50</td></tr><tr><td class="align_left">CND</td><td class="align_center">286</td><td class="align_center">235</td><td class="align_center">214</td><td class="align_center">187</td><td class="align_center">128</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Actual persistent user under different timeslots.</div>

Mathematical Problems in Engineering

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Table 3

Table 3: Detecting Persistent User Behavior Using Probabilistic Counting in Network-Wide View 