Relational databases are a standard for representing data models. SQL is the most widely used language for querying such databases. Consequently, in many research domains, scientists extract data from relational databases, compute them and do statistical treatments. But they have to deal with the complexity of relational databases models. In addition, it takes a long time for the scientists to ...

In this paper the structure and the semantic properties of the entities stored in databases, whose data are only aggregate-type data, are defined and discussed. This choice is justified by the wide spread use of aggregate data without the corresponding raw data (i.e. micro-data, such as census data). Aggregate data are often derived by applying statistical aggregation (e.g. sum, count) and stat...

request to the contrary. Technical papers are unre fereed. can be informaly defined as a database management system able to model, store and manipulate data in a manner suitable for the needs of statisticians and to apply statistical data analysis techniques to the stored data. builders, working in this specific area of activity, to discuss the particular issues of interest, to propose new solu...

introduction: scientometric indicators are used for measuring and evaluating the quality and quantity of scientific productions in the scale of individuals as well as institutions. the database of web of science (wos) is one of the most prestigious international databases for analyzing scientific publications. this study aimed to determine the relationship between qualitative and quantitative i...

Inference control in statistical databases is a discipline with several other names, such as statistical disclosure control, statistical disclosure limitation, or statistical database protection. Regardless of the name used, current work in this very active eld is rooted in the work that was started on statistical database protection in the 70s and 80s. Massive production of computerized statis...

A probabilistic framework can be employed to assess the n“skof disclosure of confidential information in statistical databases that use disclosure control mechanisms. We illustrate how the method may be used to assess the strengths and weaknesses of two tm”stingdisclosure control mechanisms quey set size res&”ctioncontrol and random sample query control mechanisms. Our results indicate that nei...

In this paper, we investigate the task of melodic similarity search in large melody databases with special interest in the case where the melody looked for is not part of the database. We discuss some basic questions concerning this issue and devise a technical framework for a potential solution. The main part discusses several statistical measures for their quality as melodic comparison measur...

We consider a statistical database in which a trusted administrator introduces noise to the query responses with the goal of maintaining privacy of individual database entries. In such a database, a query consists of a pair (S, f) where S is a set of rows in the database and f is a function mapping database rows to {0, 1}. The true response is ∑ r∈S f(DBr), a noisy version of which is released....

Disk I/O has long been a performance bottleneck for very large databases. Database compression can be used to reduce disk I/O bandwidth requirements for large data transfers. In this paper, we explore the compression of large statistical databases and propose techniques for organizing the compressed data such that standard database operations such as retrievals, inserts, deletes and modificatio...