3 results about "Core object" patented technology

The invention relates to the technical field of databases, in particular to a database increment DDL synchronization method and device based on CDC and extension event fusion. According to the method, through fusion of the CDC and the extension event, the limitation that the traditional CDC can only capture limited DDL operation is effectively broken through, full-type DDL capture such as creation, deletion and structure modification of core objects such as tables and indexes is achieved in combination with the extension event, dependence on third-party tools and manual operation is not needed, and the implementation complexity and the error risk are greatly reduced.

The application provides a privacy protection density clustering method, an electronic device and a storage medium. The method comprises the following steps: sending a plurality of ciphertext data to two cloud servers, so that each cloud server determines the object type of each received ciphertext data, the object type comprising a core object or a boundary object, and based on a privacy protection DBSCAN algorithm, each core object and a target boundary object in the neighborhood range of the core object are grouped into a temporary cluster, the target boundary object only belongs to one temporary cluster, the connection relationship between each temporary cluster and other temporary clusters is determined, and the connection relationship is fed back; according to the connection relationship fed back by the two cloud servers, the connected temporary clusters are merged, and a clustering result is obtained. The application can improve privacy security, and improve clustering efficiency and clustering quality.

The application discloses a data outlier detection method and a storage medium. The object radius epsilon and the minimum point value MinPts are determined. All core objects are obtained by screening according to the object radius epsilon and the minimum point value MinPts. The core object set is obtained by grouping all the core objects. The distance between the sample point and each core object in the core object set is obtained. The distances between the sample point and each core object in the core object set are sorted in ascending order, and the core objects corresponding to the first K distances are selected as the Kth core neighborhood. The Kth core reachable distance of the sample point in the Kth core neighborhood is calculated according to the reachable distance of the Kth core neighborhood. The core local reachable density of the sample point is calculated based on the Kth core reachable distance of the sample point in the Kth core neighborhood. The core local anomaly factor of the sample point is calculated based on the core local reachable density of the sample point. The core local anomaly factor is sorted, and the sample point meeting the set condition is taken as an outlier.