NDLI: Visualizing the Yield Pattern for Multi Class Classification

Content Provider	IEEE Xplore Digital Library
Author	Noor, M.N.M.M. Jusoh, S.
Copyright Year	2009
Abstract	This research attempts to generate an automatic prediction model in a hard disk media manufacturing process. This is to be done without human visual interpretation. Our research demonstrates that it can be achieved by visualizing the historical temporal data pattern generated from the inspection machine. From there, the data pattern is transformed and mapped into machine learning algorithm for training. In this paper, we have introduced the pattern visualization technique with trinary and quinary number and compared them with our previous binary pattern visualization technique. This is to deal with multi class classification. The result implied that, the performance of the multi class classification can be improved when all class instances were made higher in quantity and balance. Quinary pattern visualization techniques performed better compared with binary and trinary patterns when the multi class instances were made balanced and were significantly at higher quantity.
Starting Page	560
Ending Page	565
File Size	400004
Page Count	6
File Format	PDF
ISBN	9781424441549
DOI	10.1109/AMS.2009.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-25
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning algorithms Art Hard Disk Media Manufacturing Predictive models Inspection Educational institutions Data Mining Computer science Support vector machines Visualized Pattern Multi Class Classification Predictive Maintenance Data visualization Machine learning Sampling methods Quinary Number
Content Type	Text
Resource Type	Article

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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
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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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