Databases of Personal Identifiable Information

Learn how to encrypt, decrypt, and hash strings. Can be used with databases for more security. UPDAT...

Lecture Series on Database Management System by Dr.S.Srinath IIIT Bangalore . For more details on NP...

Lecture Series on Database Management System by Dr.S.Srinath IIIT Bangalore . For more details on NP...

This quick video will show you how to create a mysql database table in a few quick steps. You will s...

Lecture Series on Database Management System by Dr.S.Srinath IIIT Bangalore .For more details on NPT...

Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on N...

[ ]see more www.revista-php.net On this video you will learn how to create databases and tables with...

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phpvideos.net (for better quality) Learn how to use phpmyadmin and manage databases through PHP.

Beginning mysql Shows you how to create,insert,update and delete databases/tables

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There are a number of databases that psychologists use to ac...

In database packages, a cursor comprises a control structure...

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Nationwide population-based longitudinal databases provide excellent resources for medical research in Scandinavia. These include the Population Registry, the Cancer Registry, the Cause of Death Registry, the Hospital Discharge Registry, and other registers, and are linkable to each other by the personal identification code. The registers have long historical backgrounds, and are regulated strictly by law. This article describes features of the national databases and provides some examples of rheumatology research that use these databases.

We have previously developed and described a modeling and development framework called EAV/CR, which is appropriate for designing databases containing highly heterogeneous and evolving data, as in the case of scientific databases for rapidly advancing domains. The use of EAV/CR has been hampered by the lack of generic tools for non-procedurally transferring data into or out of legacy systems or analytical packages: the transfer task is complicated by the different representation of EAV vs. conventional data, which is not addressed by commercial...

These two rule-oriented paradigms of databases have been the focus of extensive research and are now coming of age in the commercial DBMS world.

These two rule-oriented paradigms of databases have been the focus of extensive research and are now coming of age in the commercial DBMS world.

The National BioResource Project (NBRP) is a Japanese project that aims to establish a system for collecting, preserving and providing bioresources for use as experimental materials for life science research. It is promoted by 27 core resource facilities, each concerned with a particular group of organisms, and by one information center. The NBRP database is a product of this project. Thirty databases and an integrated database-retrieval system (BioResource World: BRW) have been created and made available through the NBRP home page (http://www....

. In this paper, we discuss a number of new problems that arise in image databases, and that set them apart from traditional databases. The fact that image databases are based on similarity, rather than matching, creates a whose set of new issues.Most noticeably, while matching is, by and large, a well defined concept, there are many possible types of similarities. In this paper, we consider the problem of simulating human similarity perception. We argue that a satisfactory solution is possible for preattentive similarity, and we present a gene...

The Manitoba Centre for Health Policy and Evaluation (MCHPE) conducts health services research focusing on Manitoba's administrative databases. Administrative databases contain information which is routinely and systematically collected for administrative purposes such as hospital and physician claims and funding requirements. This article describes the MCHPE's five major databases, their strengths and limitations, and the development of the Population Health Information System (PHIS). Four modules from PHIS illustrate how the data are used to ...

Abstract The work introduces an approach to defining and executing authorization models in object oriented database management systems (ODBMS). It allows the realization of an access control mechanism that supports a flexible description of the underlying authorization model. Using a declarative description language and an advanced trigger mechanism, different models can apply to the same database for different needs

Baseline examinations and periodic reexaminations in longitudinal population studies, together with ongoing surveillance for morbidity and mortality, provide unique opportunities for seeking ways to enhance the value of the electrocardiogram (ECG) recorded with digital technology as an inexpensive and noninvasive tool for prognosis and diagnosis. Clinicians, epidemiologists, and engineers from industry, government, and academic medical centers gathered at a workshop sponsored by the National Heart, Lung, and Blood Institute (NHLBI) on June 11-1...

Introduction As researchers in Arti?cial Intelligence, our ?rst aim was to allow our expert system shell Smeci [Sme90] the access to relational databases during reasoning. We also needed to save in a database complex objects that seemed interesting for further utilization, in particular the knowledge bases and the results of reasoning. To this end, we have de?ned generic correspondences [Leb93] between relational concepts and some of the object concepts that are common to most object models. These correspondences allow to translate relational d...

Abstract Not Available

Abstract Data mining and knowledge discovery in databases (KDD) promise to play an important role in the way people interact with databases, especially scientific databases where analysis and exploration operations are essential. The author defines the basic notions in data mining and KDD, defines the goals, presents motivation, and gives a high-level definition of the KDD process and how it relates to data mining. The author then focuses on data mining methods. Basic coverage of a sampling of methods is provided to illustrate the methods and ...

Abstract Data mining and knowledge discovery in databases (KDD) promise to play an important role in the way people interact with databases, especially scientific databases where analysis and exploration operations are essential. The author defines the basic notions in data mining and KDD, defines the goals, presents motivation, and gives a high-level definition of the KDD process and how it relates to data mining. The author then focuses on data mining methods. Basic coverage of a sampling of methods is provided to illustrate the methods and ...

Abstract Data mining applications are typically used in the decision making process. The knowledge discovery process (KDD process for short) is a typical iterative process, in which not only the raw data can be mined several times, but also the mined patterns might constitute the starting point for further mining on them. These are the premises that lead Imielinski and Mannila in [1996] to propose the idea of inductive database, a general-purpose database in which both the data and the patterns can be represented, retrieved and manipulated. Th...