NDLI: Email classification: Solution with back propagation technique

Content Provider	IEEE Xplore Digital Library
Author	Taiwo Ayodele Shikun Zhou Khusainov, R.
Copyright Year	2009
Description	Author affiliation: Department of Electronics and Computer Engineering, University of Portsmouth, United Kingdom (Taiwo Ayodele; Shikun Zhou; Khusainov, R.)
Abstract	To acquire knowledge by learning automatically from the data, through a process of inference, model fitting, or learning from example is one of the rare field of email management. And when an artificial system can perform "intelligent", tasks similar to those performed by the human brain and such is implemented in email classification, such a system will be is extremely intelligent. Using neural network for email content classification with back propagation is where our technique becomes distinct and effective. This paper proposes a new email classification model using a teaching process of multi-layer neural network to implement back propagation algorithm. Our contributions are: the use of empirical analysis to select an optimum, novel collection of features of a user's email message content that enables the rapid detection of most important words, phrases in emails and a demonstration of the effectiveness of two equal sets of emails (training and testing data).
Starting Page	1
Ending Page	6
File Size	773428
Page Count	6
File Format	PDF
ISBN	9781424456475
e-ISBN	9781424456482
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-09
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning automata Education Humans Artificial neural networks Knowledge management Artificial intelligence Intelligent systems Biological neural networks Multi-layer neural network Testing
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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