Pattern type, Association Rule, Cluster, Time Series, Query Language

The authors' aim is the Logical Model and Language Support for Patterns in DBMS (Database Management System) and builds on the previous work of the authors. Patterns are mentioned usually in the extraction context. Little stress is posed in their representation and management. This paper is focused on representation of the patterns, manipulation with patterns and query patterns. Crucial issue can be seen in systematic approach to pattern management and specific pattern query language which takes into consideration semantics of patterns. Example of implementation of the abstract pattern model is proposed. Query language for manipulating with patterns is introduced on Time Series data.