NDLI: Multidimensional data mining for discover association rules in various granularities

Content Provider	IEEE Xplore Digital Library
Author	Chiang, J.K. Rui-Han Yang
Copyright Year	2013
Description	Author affiliation: Dept. of Manage. Inf. Syst., Nat. Chengchi Univ. Taipei, Taipei, Taiwan (Chiang, J.K.; Rui-Han Yang)
Abstract	Data Mining is one of the most significant tools for discovering association patterns that are useful for many knowledge domains. Yet, there are some drawbacks in existing mining techniques. The three main weaknesses of current data-mining techniques are: 1) re-scanning of the entire database must be done whenever new attributes are added because current methods are based on flat-mining using pre-defined schemata. 2) An association rule may be true on a certain granularity but fail on a smaller ones and vise verse. This may result in loss of important association rules. 3) Current methods can only be used to find either frequent rules or infrequent rules, but not both at the same time. This research proposes a novel data schema and an algorithm that solves the above weaknesses while improving on the efficiency and effectiveness of data mining strategies. Crucial mechanisms in each step will be clarified in this paper. This paper also presents a benchmark which is used to compare the level of efficiency and effectiveness of the proposed algorithm against other known methods. Finally, this paper presents experimental results regarding efficiency, scalability, information loss, etc. of the proposed approach to prove its advantages.
Sponsorship	Dar Al-Uloom Univ.
Starting Page	1
Ending Page	6
File Size	347064
Page Count	6
File Format	PDF
ISBN	9781467352840
e-ISBN	9781467352857
DOI	10.1109/ICCAT.2013.6522021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-20
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Itemsets Multidimensional Data Mining Taxonomy Apriori Algorithm Association Rule Association rules Springs Granular Computing Concept Taxonomy
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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