Knowledge discovery in databases: an overview
AI Magazine
GEFRED: a generalized model of fuzzy relational databases
Information Sciences—Informatics and Computer Science: An International Journal
Principles and Applications
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Tolerant division queries and possibilistic database querying
Fuzzy Sets and Systems
Applying fuzzy data mining for soaring area selection
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Fuzzy integration of web data sources for data warehousing
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Advances in fuzzy temporal relational databases: a review
WSEAS Transactions on Information Science and Applications
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At present we have a FSQL server available for Oracle© Databases, programmed in PL/SQL. This server allows us to query a Fuzzy or Classical Database with the FSQL language (Fuzzy SQL). The FSQL language is an extension of the SQL language, which permits us to write flexible (or fuzzy) conditions in our queries to a fuzzy or traditional database. In this paper we show an extension of FDBR architecture of FSQL for fuzzy handling of different types of data. The main advantage is that any user can to define his own fuzzy comparator for any specific problem. We consider that this model satisfies the requirements of Data Mining systems (handling of different types of data, high-level language, efficiency, certainty, interactivity, etc) and this new level of personal configuration makes the system very useful and flexible.