NDLI: Visual Analytics for Big Data Using R

Content Provider	IEEE Xplore Digital Library
Author	Nasridinov, A. Young-Ho Park
Copyright Year	2013
Description	Author affiliation: Dept. of Multimedia Sci., Sookmyung Women's Univ., Seoul, South Korea (Nasridinov, A.; Young-Ho Park)
Abstract	The growth in volumes of data has affected today's large organization, where commonly used software tools to capture, manage, and process the data cannot handle big data effectively. The main challenge is that organizations must analyze a large amount of big data and extract useful information or knowledge for future actions in a short time. This type of demands has produced the markets for various innovative big data control mechanisms, such as visual analytics for big data. In this paper, we propose to visually analyze the big data using R statistical software. The proposed method is composed of three steps. In the first step, we extract the data set from the target Web site. In the second step, we parse the extracted raw data according to the types, and store in a database. In the third, we perform visual analysis from the stored data in database using R statistical software.
Starting Page	564
Ending Page	565
File Size	260802
Page Count	2
File Format	PDF
ISBN	9780769551142
DOI	10.1109/CGC.2013.96
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-30
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data handling Social network services Visual analytics Organizations Software Big data Information management Data mining R statistical software Data storage systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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