Add to ORKGRelational database schemas must be semantically enriched to reflect knowledge about the data, as needed by many applications. One technique is the analysis of the database extension, extracting existing data dependencies. In this paper, new algorithms to extract functional and inclusion dependencies are presented; they are designed to minimize the number of disk accesses
Discovering functional dependencies is a fundamental step in the design of relational databases and ...
This study develops the foundation for a simple, yet efficient method for uncovering functional and ...
International audienceIn this paper, we deal with the functional and approximate dependency inferenc...
Relational database schemas must be semantically enriched to reflect knowledge about the data, as ne...
Relational database schemas must be semantically enriched to reflect knowledge about the data, as ne...
Relational database schemas must be semantically enriched to reflect knowledge about the data, as ne...
Since real world databases are known to be very large, they raise problems of the access. Therefore,...
Abstract. This study develops the foundation for a simple, yet ecient method for uncovering function...
Abstract. This study develops the foundation for a simple, yet ecient method for uncovering function...
Data Mining (DM) represents the process of extracting interesting and previously unknown knowledge f...
Traditionally dependencies are used in database design and data quality control. In knowledge discov...
Recently, there has been a renovated interest in functional dependencies due to the possibility of e...
We implemented a system to mine functional dependencies from relational databases. Our system improv...
Functional dependencies (FDs) and inclusion dependencies (INDs) are the most fundamental database in...
Discovering functional dependencies is a fundamental step in the design of relational databases and ...
Discovering functional dependencies is a fundamental step in the design of relational databases and ...
This study develops the foundation for a simple, yet efficient method for uncovering functional and ...
International audienceIn this paper, we deal with the functional and approximate dependency inferenc...
Relational database schemas must be semantically enriched to reflect knowledge about the data, as ne...
Relational database schemas must be semantically enriched to reflect knowledge about the data, as ne...
Relational database schemas must be semantically enriched to reflect knowledge about the data, as ne...
Since real world databases are known to be very large, they raise problems of the access. Therefore,...
Abstract. This study develops the foundation for a simple, yet ecient method for uncovering function...
Abstract. This study develops the foundation for a simple, yet ecient method for uncovering function...
Data Mining (DM) represents the process of extracting interesting and previously unknown knowledge f...
Traditionally dependencies are used in database design and data quality control. In knowledge discov...
Recently, there has been a renovated interest in functional dependencies due to the possibility of e...
We implemented a system to mine functional dependencies from relational databases. Our system improv...
Functional dependencies (FDs) and inclusion dependencies (INDs) are the most fundamental database in...
Discovering functional dependencies is a fundamental step in the design of relational databases and ...
Discovering functional dependencies is a fundamental step in the design of relational databases and ...
This study develops the foundation for a simple, yet efficient method for uncovering functional and ...
International audienceIn this paper, we deal with the functional and approximate dependency inferenc...