DocumentCode :
3730290
Title :
Visualization and descriptive analytics of wellness data through Big Data
Author :
Shujaat Hussain;Sungyoung Lee
Author_Institution :
Ubiquitous Computing Laboratory, Dept. of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea
fYear :
2015
Firstpage :
69
Lastpage :
71
Abstract :
Visualization and analytics are now very important in today´s data deluge. The data generated today is very complex and unstructured and it is very difficult to comprehend the data. Due to these factors, visualization and analytics plays a very important role in human understanding. In this paper a big data platform is proposed which takes data from Hadoop distributed file system and the relational database for health analytics and visualization. The data is structured and displayed in terms of analytics and graphs. This platform is capable of transforming the data into a predefined structure so that additional insights can be driven from the data. Visualization and analytics on big data enhances the decision making and knowledge discovery. The framework is capable of handling unstructured data as well as structured data. A case study is given where variety of data is shown in form of analytics and visualization for supporting decision making and additional analysis.
Keywords :
"Visualization","Random access memory","Ferroelectric films","Nonvolatile memory","Databases"
Publisher :
ieee
Conference_Titel :
Digital Information Management (ICDIM), 2015 Tenth International Conference on
Type :
conf
DOI :
10.1109/ICDIM.2015.7381878
Filename :
7381878
Link To Document :
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