Geographical database systems and statistical information

2005 ◽  
pp. 420-426 ◽  
Author(s):  
Andrew Westlake
Keyword(s):  
Database Systems ◽  
Statistical Information

Intelligent Processing of Loosely Structured Documents as a Strategy for Organizing Electronic Health Care Records

1993 ◽  
Vol 32 (04) ◽  
pp. 265-268 ◽  
Author(s):  
D. J. Essin
Keyword(s):  
Health Care ◽  
Health Care Organization ◽  
Database Systems ◽  
Relevant Information ◽  
Full Potential ◽  
Care Organization ◽  
Intelligent Processing ◽  
Data Interchange ◽  
Structured Documents ◽  
Health Care Records

AbstractLoosely structured documents can capture more relevant information about medical events than is possible using today’s popular databases. In order to realize the full potential of this increased information content, techniques will be required that go beyond the static mapping of stored data into a single, rigid data model. Through intelligent processing, loosely structured documents can become a rich source of detailed data about actual events that can support the wide variety of applications needed to run a health-care organization, document medical care or conduct research. Abstraction and indirection are the means by which dynamic data models and intelligent processing are introduced into database systems. A system designed around loosely structured documents can evolve gracefully while preserving the integrity of the stored data. The ability to identify and locate the information contained within documents offers new opportunities to exchange data that can replace more rigid standards of data interchange.

Data Security in Health Information Systems by Applying Software Techniques

1979 ◽  
Vol 18 (04) ◽  
pp. 214-222
Author(s):  
K. Sauter
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Data Security ◽  
Health Information Systems ◽  
Database Systems ◽  
Modern Computer ◽  
Proper Design ◽  
Software Construction ◽  
Organizational Procedures ◽  
Software Measures

The problems encountered in achieving data security within computer-supported information systems increased with the development of modern computer systems. The threats are manifold and have to be met by an appropriate set of hardware precautions, organizational procedures and software measures which are the topic of this paper. Design principles and software construction rules are treated first, since the security power of a system is considerably determined by its proper design. A number of software techniques presented may support security mechanisms ranging from user identification and authentication to access control, auditing and threat monitoring. Encryption is a powerful tool for protecting data during physical storage and transmission as well.Since an increasing number of health information systems with information-integrating functions are database-supported, the main issues and terms of database systems and their specific security aspects are summarized in the appendix.

The experience of ranking russian economic journals

2015 ◽  
pp. 99-115 ◽  
Author(s):  
E. Balatsky ◽  
N. Ekimova
Keyword(s):  
Information System ◽  
Citation Index ◽  
Statistical Information ◽  
Expert Evaluation ◽  
Expert Interviews ◽  
Bibliometric Data ◽  
Russian Science ◽  
Ranking Systems ◽  
Economic Journals ◽  
Russian Science Citation Index

The article presents the results of the rating of Russian economic journals, the methodology of which is based on a combination of bibliometric data and expert interviews. Processing of the statistical information system of Russian science citation index (RINC) allows us to form a “primary” list of the best journals in the country. Expert evaluation of the list makes it possible to reorganize it with regard to the scientific level of periodicals and get the “secondary” list. The merger of two ranking systems forms the basis of obtaining the final ranking of economic journals. It is shown that the leading part of the constructed rating forms a kind of the Diamond List of journals, which on the whole agrees with similar lists obtained in earlier studies by other authors.

A Note on Confidence Intervals and Model Specification

Marketing ZFP ◽  
2019 ◽  
Vol 41 (4) ◽  
pp. 33-42
Author(s):  
Thomas Otter
Keyword(s):  
Confidence Intervals ◽  
Generalized Linear Model ◽  
Statistical Information ◽  
Regression Coefficients ◽  
Model Specification ◽  
Model Parameters ◽  
Exploratory Research ◽  
Empirical Calibration ◽  
Credible Intervals ◽  
Model Structures

Empirical research in marketing often is, at least in parts, exploratory. The goal of exploratory research, by definition, extends beyond the empirical calibration of parameters in well established models and includes the empirical assessment of different model specifications. In this context researchers often rely on the statistical information about parameters in a given model to learn about likely model structures. An example is the search for the 'true' set of covariates in a regression model based on confidence intervals of regression coefficients. The purpose of this paper is to illustrate and compare different measures of statistical information about model parameters in the context of a generalized linear model: classical confidence intervals, bootstrapped confidence intervals, and Bayesian posterior credible intervals from a model that adapts its dimensionality as a function of the information in the data. I find that inference from the adaptive Bayesian model dominates that based on classical and bootstrapped intervals in a given model.

Performance Evaluation of Distributed Database Systems

2014 ◽  
Vol 13 (9) ◽  
pp. 4859-4867
Author(s):  
Khaled Saleh Maabreh
Keyword(s):  
Performance Evaluation ◽  
System Performance ◽  
Operation Mode ◽  
Database Systems ◽  
Distributed Database ◽  
Evaluation Study ◽  
Distributed Database Systems ◽  
Different Types ◽  
Distributed Database System ◽  
Distributed Database Management

Distributed database management systems manage a huge amount of data as well as large and increasingly growing number of users through different types of queries. Therefore, efficient methods for accessing these data volumes will be required to provide a high and an acceptable level of system performance.  Data in these systems are varying in terms of types from texts to images, audios and videos that must be available through an optimized level of replication. Distributed database systems have many parameters like data distribution degree, operation mode and the number of sites and replication. These parameters have played a major role in any performance evaluation study. This paper investigates the main parameters that may affect the system performance, which may help with configuring the distributed database system for enhancing the overall system performance.

CRITICAL STUDY ON DATABASE AND PROMINENT PROGRAMMES

2013 ◽  
Vol 4 (1) ◽  
pp. 44-47
Author(s):  
Dr. Vinod Kumar ◽  
Gagandeep Raheja ◽  
Sukhpreet Singh
Keyword(s):  
Human Brain ◽  
Everyday Life ◽  
Modern Society ◽  
Database Systems ◽  
Simple Device ◽  
Critical Study ◽  
Essential Component ◽  
The People

The people who work with computers, the programmers, analysts, and operators who seem to live by rules of their own and seldom leave their own environment, tend to be very cynical towards the stories of electronic brains. This attitude will appear hardly surprising when one eventually learns that the computer is a very simple device and is as far removed from an electronic brain as a bicycle from a spaceship. Programmers in particular are the people most aware that computers are no substitute for the human brain; in fact, the preparation of work to be run on a computer can be one of the most mind-bending exercises encountered in everyday life. Databases and database systems have become an essential component of everyday life in modern society. In the course of a day, most of us encounter several activities that involve some interaction with a database. So in this paper we will talk about how to manage the different type of data involved in any form in the database.

The copper industry of the Sverdlovsk region in 1940—1953 (statistical information)

2020 ◽  
Vol 2020 (10-4) ◽  
pp. 85-92
Author(s):  
Alexander Bedel ◽  
Mikhail Mikheev
Keyword(s):  
Statistical Data ◽  
Statistical Information ◽  
Copper Industry ◽  
Territorial Organization

This article introduces statistical data on the development of the copper industry in the Sverdlovsk region in 1940-1953. On the example of the industry, we consider such a phenomenon as indirect damage from the fighting of 1941-1945 for the industrial Urals. The related changes in the territorial organization of the productive forces of the copper industry in the region are shown.

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