Design and Implementation of Vulnerability Verification Framework Based on Data Mining Algorithm

With the advent of big data era, data mining algorithms have been widely used in various fields. However, in the process of data processing, these algorithms may also have some loopholes, which lead to deviation or error of results. Therefore, it is very important to verify the vulnerability of data mining algorithm for improving the accuracy and reliability of the algorithm. Vulnerability verification of data mining algorithm is an important means to ensure the accuracy and reliability of the algorithm. Through comparative experiments, anomaly detection, fuzzy testing, cross-validation and interpretability checking, we can find and solve the loopholes in the algorithm.