Abnormal objective recognition in video based on data mining of finance industry
Zhi-wang Jiang, Hong-Xia Zhang · 2015
In order to strengthen the financial industry security, this paper puts forward an intelligent monitoring system which has the function of abnormal automatic moving object recognition based on data mining technology. First of all, this paper elaborates the common classification of data mining methods, through the experiment and comparison, and selects associative classification algorithm for mining algorithm; Secondly, based on support and confidence level optimization, the associative classification algorithm is proposed, and simulation experiment shows that this method is effective to overcome the experience in accordance with the values given threshold caused adverse effect; Finally, the intelligent monitoring system consists of data mining system and the user's system. It is not only to achieve the purpose of the intelligent monitoring, but also to achieve a good human-computer interaction.