Model building is one of the most important objectives of
data mining and data analysis. As many data mining
applications, such as personalization, bioinformatics and
some large enterprise-wide business applications, become
increasingly complex and require a very large number of
models, it is becoming progressively more difficult for data
analysts to built and to manage a large number of models
in these applications on their own. Therefore, development
of software tools helping data analysts in these tasks is
becoming a pressing issue. This paper presents a model
management system supporting various types of data
mining models. It describes how to build and populate
large heterogeneous modelbases. It also presents a query
language for querying these modelbases and examines
performance results for some of the queries.Information Systems Working Papers Serie