scholarly journals Neo4j Graph Database Implementation for LinkedIn

2020 ◽  
pp. 339-342
Author(s):  
Punam Nikam ◽  
Sachin Bhoite ◽  
Anuj Shenoy
Keyword(s):  
Social Media ◽  
Data Management ◽  
Graph Database ◽  
Graph Databases ◽  
Database Implementation

The presented article mainly circumspect the idea for the use and implementation of graph database in the most social media of today. Currently many companies are using neo4j graph database for their workouts for data management. We shall stick with social media for this particular paper. We have used neo4j graph database for maintaining data of LinkedIn user and pages in a very systematic manner. Facebook and Twitter do currently use graph databases so we thought of implementing the same for LinkedIn.

Health Informatics: Handle with Caution

1997 ◽  
Vol 36 (02) ◽  
pp. 79-81
Author(s):  
V. Leroy ◽  
S. Maurice-Tison ◽  
B. Le Blanc ◽  
R. Salamon
Keyword(s):  
Health Care ◽  
Data Management ◽  
Medical Informatics ◽  
Health Care Professionals ◽  
Data Security ◽  
Health Informatics ◽  
The Other ◽  
Inappropriate Use

Abstract:The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.

Data Management in an Epidemiological Study : Experiences from the Iowa 500 Field Follow-up and Family Study

1980 ◽  
Vol 19 (01) ◽  
pp. 37-41
Author(s):  
R. F. Woolson ◽  
M. T. Tsuang ◽  
L. R. Urban
Keyword(s):  
Data Management ◽  
Epidemiological Study ◽  
Family Study ◽  
Data Sets ◽  
Data Handling ◽  
Management Decisions ◽  
Numerous Data ◽  
Made In

We are now conducting a forty-year follow-up and family study of 200 schizophrenics, 325 manic-depressives and 160 surgical controls. This study began in 1973 and has continued to the present date. Numerous data handling and data management decisions were made in the course of collecting the data for the project. In this report some of the practical difficulties in the data handling and computer management of such large and bulky data sets are enumerated.

Framework for Biosignal Interpretation in Intensive Care and Anesthesia

1997 ◽  
Vol 36 (04/05) ◽  
pp. 340-344 ◽  
Author(s):  
I. Korhonen ◽  
M. van Gils ◽  
A. Kari ◽  
N. Saranummi
Keyword(s):  
Critical Care ◽  
Intensive Care ◽  
Data Management ◽  
Clinical Evaluation ◽  
Patient Monitoring ◽  
Research Community ◽  
Clinical Routine ◽  
The Poor ◽  
Outcomes Of Care

Abstract:Improved monitoring improves outcomes of care. As critical care is “critical”, everything that can be done to detect and prevent complications as early as possible benefits the patients. In spite of major efforts by the research community to develop and apply sophisticated biosignal interpretation methods (BSI), the uptake of the results by industry has been poor. Consequently, the BSI methods used in clinical routine are fairly simple. This paper postulates that the main reason for the poor uptake is the insufficient bridging between the actors (i.e., clinicians, industry and research). This makes it difficult for the BSI developers to understand what can be implemented into commercial systems and what will be accepted by clinicians as routine tools. A framework is suggested that enables improved interaction and cooperation between the actors. This framework is based on the emerging commercial patient monitoring and data management platforms which can be shared and utilized by all concerned, from research to development and finally to clinical evaluation.

PENGELOLAAN DATA ANGGOTA BERBASIS WEBSITE DI YAMAHA VIXION CLUB CABANG BANDUNG

2020 ◽  
Vol 2 (2) ◽  
pp. 113-127
Author(s):  
Nova Indrayana Yusman
Keyword(s):  
Data Management ◽  
Organizational Structure ◽  
Human Resource Development ◽  
Human Resource ◽  
Programming Language ◽  
The Internet ◽  
Web Based ◽  
Management Software ◽  
The City ◽  
Data Management Software

Yamaha Vixion Club Bandung (YVCB) was formed on July 7, 2007 in the city of Bandung, as a place of friendship between Yamaha Vixion motorcyclists. In its organizational structure, YVCB has a Human Resource Development (HRD) division. Until now, there are more than 800 Yamaha Vixion Club Bandung members. This software is made to facilitate the work of the Yamaha Vixion Club Bandung HRD Division in processing member data. Created using Microsoft Webmatrix as an editor with the PHP programming language. The database uses MySQL with PHPMyAdmin as the software. The method used in making this software is prototyping so that between developers and customers can understand each other what the customer wants. The purpose of making web-based member data management software is that in terms of managing member data it can be done anytime and anywhere by just accessing the internet. In the use of the program, the author chose to use PHP, because PHP is the best and easiest to use in website programming language. Based on the last paragraph, the author intends to make aplication based computerized attendance so that become effective and efficient in terms of time.

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