This paper presents a mechanism LERS-M for learning production rules from very large databases. The task of learning is formulated by the concept of multiset decision tables based on rough multisets and information multisystems. LERS-M is tightly coupled with object-relational database systems, and it can also work on distributed database systems.

In this paper, we present a new method to estimate null values in relational database systems based on genetic algorithms. It can tune the membership functions of the linguistic values of the attributes in relational database systems for estimating null values. The proposed method can get a higher average estimated accuracy rate than the existing methods for estimating null values in relational...

In RDBMS, dynamic semantics such as categorization, aggregation and generalization cannot be recognized when mapped into a logical relational schema. Programming is needed in the database applications to preserve the semantics since the database cannot provide such enforcement. A frame model is proposed for (i) storing semantics from relational database and (ii) enforcing constraints of relatio...

In this paper we describe possible approaches how to store XML data, which is a key aspect for their further processing. One popular technique for managing XML data is to map the data to an existing database system, e.g., to the relational or object-relational database management system. We describe possible ways how to store XML data in relational databases, because relational systems are stil...

Fuzzy relational database handle uncertain and imprecise information for consistent operation on database and manipulate information. In this paper, I introduced fuzzy normal forms for similarity based fuzzy relational database model. First of all I have focused on fuzzy closure of attribute set which can be utilized to find fuzzy key. Next, with the concepts of α -ffd [1], I have defined fuzzy...

In this paper we evaluate a model for temporal data utilizing the benefits of object-relational database systems (ORDBS). In particular we show how attribute timestamping can be efficiently implemented in state-of-theart ORDBS. The attribute timestamping concept is based on introducing user-specific types for temporal versions of datatypes. Moreover on the physical level we make use of user-def...

For developing data warehouse (DW) and OnLine Analytical Processing (OLAP) systems, the dominant relational database reaches its limitations. On the way of the development, object-relational (O-R) database is preferred to get over those ones. This paper introduces metadata for data warehouse system on O-R database and specifies new kind of metadata for mapping from object-oriented environment t...

We present a model for a database of multi-track polyphonic songs searchable via regular expressions and stored in a relational database. The database is a standard off-the-shelf SQL-based relational database management system. The regular expression format used is of our own design, but could be replaced by any equivalent format. Songs are culled from non-analog sources such as MIDI and decomp...

Constructing ontologies from relational databases is an active research topic in the Semantic Web domain. While conceptual mapping rules/principles of relational databases and ontology structures are being proposed, several software modules or plug-ins are being developed to enable the automatic conversion of relational databases into ontologies. However, the correlation between the resulting o...

XML (eXtensible Markup Language) has emerged and is being gradually accepted as the standard for data interchange over the Internet. Since most data is currently stored in relational database systems, the problem of converting relational data into XML assumes special significance. Many researchers have already done some accomplishments in this direction. They mainly focus on finding XML schema ...