NDLI: IdeaGraph Plus: A Topic-Based Algorithm for Perceiving Unnoticed Events

Content Provider	IEEE Xplore Digital Library
Author	Chen Zhang Hao Wang Fanjiang Xu Xiaohui Hu
Copyright Year	2013
Description	Author affiliation: State Key Lab. of Comput. Sci., Inst. of Software, Beijing, China (Chen Zhang; Hao Wang; Fanjiang Xu; Xiaohui Hu)
Abstract	In the last few years, chance discovery as an extension of data mining has been proposed to capture rare but significant chances from a single document data for human decision making. Key Graph is a useful miner algorithm as well as a tool to discover chance candidates. On base of that, Idea Graph extended the concept of a chance to uncover more valuable chances. However, Key Graph and Idea Graph both fail to consider semantic relations among terms. In this paper, we propose an improved algorithm called Idea Graph plus which makes use of semantic information to enhance the performance of scenario construction using LDA topic model. Additionally, the term overlaps between sub-scenarios provide a thinking space for human to perceive unnoticed chances. An experiment demonstrates the superiority of Idea Graph plus by comparing with Idea Graph.
Sponsorship	Toshiba
Starting Page	735
Ending Page	741
File Size	546938
Page Count	7
File Format	PDF
e-ISBN	9781479931422
DOI	10.1109/ICDMW.2013.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Semantics Merging Clustering algorithms Keyboards Knowledge Discovery Cognition Topic Model Data mining IdeaGraph plus Latent Information Chance Discovery
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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