NDLI: Predicting User Behaviour to Facilitate Efficient Provision of Health Applications

Content Provider	IEEE Xplore Digital Library
Author	El-Hajj, M. Hayward, R.S.
Copyright Year	2009
Abstract	Practical analysis of user behavior patterns in social network and community software is one of the many application of data mining tools. Using data mining techniques, over 100 users of the Vividesk private online network ('desktop') for Canadian healthcare professionals was examined over a four year period for user behavior trends using decision trees (DTs) mining. Vividesk provides users with an online community of research and of practice, enabling clients to use web 2.0 and social networking principles to enhance their medical research and practice. Our interest rests primarily in usage patterns related to usergroups and classes of applications on these desktops. Some applications link to licensed information resources which can cost thousands of dollars per year to license. As a result, examining application usage data can help generate information on the relative cost effectiveness of the resources for which clients pay. This study presents an initial analysis of data by grouped resource applications as a means of determining whether deeper analysis is warranted.Data was warehoused and mined using a Microsoft Business intelligence tool (cube), using predetermined dimensions. By warehousing and mining desktop application usage through DTs,previously hidden usage patterns were uncovered. The DT experiments revealed various application usage patterns both within and between the desktops. Usergroups within each environment also demonstrated different access patterns at different times. Based on this analysis, further drilling down is warranted to uncover patterns of particular resource use.Exercises such as these will help predict future user behavior and facilitate the planning of desktop resource provision.
Starting Page	324
Ending Page	329
File Size	1594318
Page Count	6
File Format	PDF
ISBN	9780769536897
DOI	10.1109/ASONAM.2009.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-20
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Information resources Social network services Virtual Learning Community Medical services Licenses Application software Data mining community of software health applications Decision trees Pattern analysis Software tools
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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