NDLI: Integrating Frequent Pattern Mining from Multiple Data Domains for Classification

Content Provider	IEEE Xplore Digital Library
Author	Patel, D. Hsu, W. Mong Li Lee
Copyright Year	2012
Abstract	Many frequent pattern mining algorithms have been developed for categorical, numerical, time series, or interval data. However, little attention has been given to integrate these algorithms so as to mine frequent patterns from multiple domain datasets for classification. In this paper, we introduce the notion of a heterogenous pattern to capture the associations among different kinds of data. We propose a unified framework for mining multiple domain datasets and design an iterative algorithm called HTMiner. HTMiner discovers essential heterogenous patterns for classification and performs instance elimination. This instance elimination step reduces the problem size progressively by removing training instances which are correctly covered by the discovered essential heterogenous pattern. Experiments on two real world datasets show that the HTMiner is efficient and can significantly improve the classification accuracy.
Starting Page	1001
Ending Page	1012
File Size	480540
Page Count	12
File Format	PDF
ISBN	9781467300421
ISSN	10844627
e-ISBN	9780769547473
DOI	10.1109/ICDE.2012.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time series analysis Itemsets Indexes Data mining Algorithm design and analysis Accuracy Blood pressure
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Software

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
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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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