Normal alarm method of database database information based on data mining
In view of the high false alarm rate of the current abnormal alarm method,this paper proposes a new abnormal alarm method based on data mining.First,the web crawler technology is used to crawl the database information,and the invalid information is identified and cleared.Then,the database return information is standardized,and the data items that need to be changed from the original space to the unified standard data space.Then,the data mining technology is used to extract the abnormal characteristics of the database information,and the empowerment method is used to integrate these abnormal characteristics to quantify the abnormal degree and alarm level of the database information.Finally,according to the quantitative results of the corresponding alarm behavior,so as to realize the abnormal alarm based on data mining.The experimental results show that the design false alarm rate of this method does not exceed 1%,and it has a broad application prospect in the field of abnormal alarm of database return information.
data miningdatabase return informationabnormalalarmweb crawler technologyempowerment method
NETL
NSTL
万方数据
