Authors:
- Presents solutions to email spam detection and discusses its challenges such as text classification and categorization
- Analyzes the proposed techniques’ performance using precision, f-measure, recall and accuracy
- Evaluates the limitations of the proposed research thereby recommending future research
Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
- Presents solutions to email spam detection and discusses its challenges such as text classification and categorization;
- Analyzes the proposed techniques’ performance using precision, F-measure, recall and accuracy;
- Evaluates the limitations of the proposed research thereby recommending future research.
Authors and Affiliations
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Department of Computer Science & Engineering, Bharathidasan University, Tiruchirappalli, India
Mallikka Rajalingam
About the author
Mallikka Rajalingam received her M.Sc Information Technology from Bharathidasan University, Tiruchirappalli, India in 2005, M.Phil Computer Science from Madurai Kamaraj University, Madurai, India in 2008, M.Tech Computer Science & Engineering from SASTRA University, Thanjavur, India in 2009. She worked as a Research Officer (RO) at School of Computer Science, Universiti Sains Malaysia (USM), Malaysia. She is currently pursuing the Ph.D. degree at the Department of Computer Science & Engineering, Bharathidasan University, Trichy, India. She published 13 International journals, 07 International conferences and 09 workshops during her research. Her research interests include image processing, computer vision, pattern recognition, character recognition, document image analysis, text analysis and multimedia networking.
Bibliographic Information
Book Title: Text Segmentation and Recognition for Enhanced Image Spam Detection
Book Subtitle: An Integrated Approach
Authors: Mallikka Rajalingam
Series Title: EAI/Springer Innovations in Communication and Computing
DOI: https://doi.org/10.1007/978-3-030-53047-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-53046-4Published: 11 August 2020
Softcover ISBN: 978-3-030-53049-5Published: 12 August 2021
eBook ISBN: 978-3-030-53047-1Published: 10 August 2020
Series ISSN: 2522-8595
Series E-ISSN: 2522-8609
Edition Number: 1
Number of Pages: IX, 114
Number of Illustrations: 8 b/w illustrations, 23 illustrations in colour
Topics: Communications Engineering, Networks, Computer Imaging, Vision, Pattern Recognition and Graphics, Computational Intelligence, Algorithms