Spatial–Temporal Traffic Data Analysis Based on Global Data Management Using MAS

2004 ◽  
Vol 5 (4) ◽  
pp. 267-275 ◽  
Author(s):  
H.-S. Zhang ◽  
Y. Zhang ◽  
Z.-H. Li ◽  
D.-C. Hu
Keyword(s):  
Data Analysis ◽  
Data Management ◽  
Traffic Data ◽  
Global Data

Big Data management and data analysis: Applied solutions in view of the spheres of the modern economy

2021 ◽  
pp. 281-306
Author(s):  
Larisa A. Ilyina ◽  
Ekaterina V. Lyubimova ◽  
Darya A. Prosvirina ◽  
Anton N. Sunteev
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Management ◽  
Modern Economy

scholarly journals Traffic Data Analysis on Sathorn Road with Synchro Optimization and Traffic Simulation

2017 ◽  
Vol 21 (6) ◽  
pp. 57-67 ◽  
Author(s):  
Kijawattanee Udomsilp ◽  
Teeratat Arayakarnkul ◽  
Sorawee Watarakitpaisarn ◽  
Patrachart Komolkiti ◽  
Jittichai Rudjanakanoknad ◽  
...  
Keyword(s):  
Data Analysis ◽  
Traffic Simulation ◽  
Traffic Data

Traffic Data: Exploratory Data Analysis with Apache Accumulo

2018 ◽  
pp. 129-143 ◽  
Author(s):  
Massimo Bernaschi ◽  
Alessandro Celestini ◽  
Stefano Guarino ◽  
Flavio Lombardi ◽  
Enrico Mastrostefano
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Traffic Data ◽  
Exploratory Data

Infrastructures and Ionograms

2017 ◽  
Keyword(s):  
Data Analysis ◽  
Mass Production ◽  
Automated System ◽  
Natural Order ◽  
The Core ◽  
Ground Station ◽  
Data Flows ◽  
The World ◽  
Formed Part ◽  
Global Data

This chapter explores how the Alouette satellite’s reorientation of global data flows and mass-production of ionograms altered the natural order at the core of DRTE’s research. The satellite’s unexpected reliability demanded an automated system of data analysis. Automation, when applied to the ionogram, effaced the complexity used to characterize the ionosphere above Canada and explain violent communications disruptions. The chapter first analyzes the debates over the organization of the satellite’s global ground station network, the control of the satellite, the collaboration with NASA, and the sharing of data. It then examines how these considerations formed part of the technical design of the satellite, and specifically how they required a system for mass-producing ionograms from global data gathered around the world. The chapter’s final section focuses on the resulting problems of data analysis that this system produced and the new reading techniques devised to analyze the overwhelming number of records.

Data Analysis and Integration in Healthcare

2019 ◽  
pp. 220-234
Author(s):  
Kara S. Evans ◽  
Elizabeth Baoying Wang
Keyword(s):  
Data Analysis ◽  
Data Integration ◽  
Drug Interactions ◽  
Data Management ◽  
Healthcare System ◽  
Human Body ◽  
Healthcare Providers ◽  
General Wellbeing ◽  
Missed Diagnoses

Healthcare providers treat a plethora of conditions associated with the human body for a patient to achieve optimal healthiness. However, aspects of a patients' entire wellbeing can often be overlooked, which leads to issues such as drug interactions, missed diagnoses, and other gaps in care. Healthcare can benefit from implementing better data management and integration to improve data analysis, which could bridge gaps in care. This chapter will explain data analysis and data integration, why they are pertinent in the healthcare system, and their associated rewards and challenges. After analyzing these healthcare facets, this chapter will conclude with a proposal for healthcare providers to leverage technology for patients' general wellbeing and a healthier population.

scholarly journals Experimental Pipeline (Expipe): A Lightweight Data Management Platform to Simplify the Steps From Experiment to Data Analysis

2020 ◽  
Vol 14 ◽  
Author(s):  
Mikkel Elle Lepperød ◽  
Svenn-Arne Dragly ◽  
Alessio Paolo Buccino ◽  
Milad Hobbi Mobarhan ◽  
Anders Malthe-Sørenssen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Management ◽  
Management Platform ◽  
Data Management Platform
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