Database Systems and Information Management – Trends and a Vision

2021 ◽  
Keyword(s):  
Information Management ◽  
Database Systems

Mining Quantitative and Fuzzy Association Rules

2011 ◽  
pp. 815-819
Author(s):  
Hong Shen ◽  
Susumu Horiguchi
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Process Control ◽  
Query Processing ◽  
Information Management ◽  
Association Rules ◽  
Database Systems ◽  
Fuzzy Association Rules ◽  
Central Task ◽  
Mining Association Rules

The problem of mining association rules from databases was introduced by Agrawal, Imielinski, & Swami (1993). In this problem, we give a set of items and a large collection of transactions, which are subsets (baskets) of these items. The task is to find relationships between the occurrences of various items within those baskets. Mining association rules has been a central task of data mining, which is a recent research focus in database systems and machine learning and shows interesting applications in various fields, including information management, query processing, and process control.

Research on the Application of Information Management System in Sports Competition

2014 ◽  
Vol 687-691 ◽  
pp. 2879-2882
Author(s):  
Qing Li ◽  
Jian Zhen Huang
Keyword(s):  
Information Management ◽  
Present Status ◽  
Management System ◽  
Database Systems ◽  
Information Management System ◽  
Computer Application ◽  
Network Database ◽  
Network Platform

The present status of the computer application in sports game is not so popular and it is very urgent to develop sports game information management system (SGIMS), which runs on network platform and meet the national need. In this paper, a SGIMS based on C/S and B/S mode network database systems is presented. The SGIMS can be used not only in primary sports game, but also in medium and large sports game.

Tools for Research: Information Management at VA

1999 ◽  
Author(s):  
John Higgins ◽  
Laura Miller ◽  
Anita Weeks
Keyword(s):  
Information Management ◽  
Research 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.

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