US Patent 10049128 Outlier detection in databases

Various systems, methods, and processes for identifying outliers in a data set stored in a database are disclosed. A subset of data is extracted from a data set. Data descriptors are allocated to the subset of data. A model of the subset of data is created based on attributes of the data descriptors. An iteration of an outlier detection process based on the model is then executed. The outlier detection process evaluates the subset of data, and the outlier detection process evaluates the data set based on the results of the evaluation of the subset of data. The outlier detection process, which can implement and/or use a Random Sample Consensus (RANSAC) algorithm, identifies outliers in the data set stored in the database.