4,109 research outputs found
A user driven method for database reverse engineering
In this thesis we describe the UQoRE method which supports database reverse
engineering by using a data mining technique. Generally, Reverse Engineering
methods work by using information extracted from data dictionaries, database
extensions, application programs and expert users. The main differences
between all these methods rely on the assumptions made on the a-priori
knowledge available about the database (schema and constraints on attributes)
as well as the user competence. Most of them are based on the attribute name
consistency. This paper presents a method based on user queries. Queries are
stored in a “Query Base” and our system mines this new source of knowledge in
order to discover hidden links and similarity between database elements
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