Cluster rule based algorithm for detecting incorrect data records

Software applications have become an indispensable integral part of this world. In all areas of everyday life they are used to store information. Users of software applications rely on the data correctness. Incorrect data within the data set can cause a reduced user acceptance. To avoid incorrect data sets the process of knowledge discovery in databases (KDD) is a powerful instrument. The application of this process comprises five different steps. The steps are applied successively. One of the core steps is the use of data mining algorithms. This paper outlines the possibilities of combining various data mining algorithms to improve the correctness of the data.