A comparison between local and global recoding algorithms for achieving microdata -sensitive -anonymity.
A database model for library material usage.
A first approach to the multipurpose relational database server.
In this paper, an architecture and an implementation of a multipurpose relational database server are proposed. This architecture enables classical queries to be executed, deductions to be made, and data mining operations to be performed on fuzzy or classical data. The proposal of this integration is to combine several ways of querying different types of data. In order to achieve this, a combination of existing meta-knowledge bases and new data catalog elements is presented. We also introduce a...
A fuzzy shape database to support conceptual design
A generalisation of entity and referential integrity in relational databases
Entity and referential integrity are the most fundamental constraints that any relational database should satisfy. We re-examine these fundamental constraints in the context of incomplete relations, which may have null values of the types “value exists but is unknown” and “value does not exist”. We argue that in practice the restrictions that these constraints impose on the occurrences of null values in relations are too strict. We justify a generalisation of the said constraints wherein we use...
A Generalisation of Entity and Referential Integrity in Relational Databases
Entity and referential integrity are the most fundamental constraints that any relational database should satisfy. We re-examine these fundamental constraints in the context of incomplete relations, which may have null values of the types "value exists but is unknown" and "value does not exist" . We argue that in practice the restrictions that these constraints impose on the occurrences of null values in relations are too strict. We justify a generalisation of the said constraints wherein we use...
A Logic Approach for Exceptions and Anomalies in Association Rules.
A model of regular sparsity map representation.
A novel approach for detection and elimination of automorphic graphs in graph databases.
A rough set-based knowledge discovery process
The knowledge discovery from real-life databases is a multi-phase process consisting of numerous steps, including attribute selection, discretization of real-valued attributes, and rule induction. In the paper, we discuss a rule discovery process that is based on rough set theory. The core of the process is a soft hybrid induction system called the Generalized Distribution Table and Rough Set System (GDT-RS) for discovering classification rules from databases with uncertain and incomplete data....
AI clustering techniques: a new approach in horizontal fragmentation of classes with complex attributes and methods in object oriented databases.
An axiomatic theory of information trees
An efficient SQL-based querying method to RDF schemata
Attribute-oriented defuzzification of fuzzy database tuples with categorical entries