Patterns are
extracted from large data collections and they represent information
and knowledge regarding specific data attributes and features.
Scientists and end users of various applications are interested in
these patterns and they
use data mining techniques to extract them. As patterns are getting
more complicated and end users are interested in a lot of different
patterns, the need for pattern management is emerging. A Pattern Base Management System
(PBMS) is a system for handling patterns as a Database
Management System (DBMS) handles data.
A PBMS stores patterns extracted from
Data sources and the user can query and retrieve stored patterns along
with information related to them like the data mining
algorithm that have been used and the data source used. More details
about the features of a PBMS can be found here.
Part of the research
around PBMS is dealing with the integration of PBMS and the domain
knowledge using ontologies. These issues are discussed here.