Methods of Data Mining and Knowledge Generalization in Large Darge Databases

摘要

The problem of knowledge acquisition in databases is considered. The necessity of processing large information arrays as well as the incompleteness of the information stored in databases is taken into account. The comparative analysis of a number of algorithms of machine learning is presented, and their ability to generalize information stored in an actual database is evaluated.