NDLI: 5Ws Model for Big Data Analysis and Visualization

Content Provider	IEEE Xplore Digital Library
Author	Jinson Zhang Mao Lin Huang
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Software, Tianjin Univ., Tianjin, China (Mao Lin Huang) \|\| Sch. of Software, Univ. of Technol., Sydney, Sydney, NSW, Australia (Jinson Zhang)
Abstract	Big Data, which contains image, video, text, audio and other forms of data, collected from multiple datasets, is difficult to process using traditional database management tools or applications. In this paper, we establish the 5Ws model by using 5Ws data dimension for Big Data analysis and visualization. 5Ws data dimension stands for, What the data content is, Why the data occurred, Where the data came from, When the data occurred, Who received the data and How the data was transferred. This framework not only classifies Big Data attributes and patterns, but also establishes density patterns that provide more analytical features. We use visual clustering to display data sending and receiving densities which demonstrate Big Data patterns. The model is tested by using the network security ISCX2012 dataset. The experiment shows that this new model with clustered visualization can be efficiently used for Big Data analysis and visualization.
Starting Page	1021
Ending Page	1028
File Size	2874867
Page Count	8
File Format	PDF
ISBN	9780769550961
DOI	10.1109/CSE.2013.149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Visualization data density BigData analysis data dimensions Data visualization BigData pattern Receivers BigData visualization Educational institutions Mobile communication Data models
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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