[Retracted] Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Attribute name</td><td class="align_center">Character description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Single_Flow_Rate</td><td class="align_center">Percentage of single packet flow in unit statistics window</td></tr><tr><td class="align_left">Proteco_lSymmetry</td><td class="align_center">Ratio of THREE-way handshake SYN packets to ACK packets in the unit statistics window</td></tr><tr><td class="align_left">Rst_Packet_Num</td><td class="align_center">Unit number of abnormal RST packets in the statistics window</td></tr><tr><td class="align_left">TTL_Anomaly_Value</td><td class="align_center">Unit number of network flows containing the right abnormal TTL value in the statistics window</td></tr><tr><td class="align_left">Service_Rate</td><td class="align_center">Service rate in unit statistics window</td></tr><tr><td class="align_left">Dest_IP_Entropy</td><td class="align_center">Entropy of the target IP address in the unit statistics window</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Characteristic attributes and description.</div>

Computational Intelligence and Neuroscience

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Table 1

Table 1: [Retracted] Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities 

Table 1 | [Retracted] Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities 