Text Message Classification Using Supervised Machine Learning Algorithms-Reference-Cited by-同舟云学术

Text Message Classification Using Supervised Machine Learning Algorithms

Published:2018-09-01 Issue: Volume: Page:141-150
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Merugu Suresh,Reddy M. Chandra Shekhar,Goyal Ekansh,Piplani Lakshay

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0212-1_15

Reference13 articles.

1. Gandhi K, Pandit Rao R, Lahane VB (2015) A survey on OSN message filtering. Int J Comput Appl 113(17):19–22

2. Soundararajan K, Eranna U, Mehta S (2012) A neural technique for classification of intercepted e-mail communications with multilayer perceptron using BPA with LMS learning. Int J Adv Electr Electron Eng 1(13):141–150

3. Wang Q, Han X, Wang X (2009) Studying of classifying junk messages based on the data mining. In: Management and service science, Wuhan, China, pp 1–4

4. Hidalgo JMG, Almeida TA, Yamakami A On the validity of a new SMS spam collection. In: Proceedings of the 11th IEEE international conference on machine learning and applications (ICMLA’12), vol 2, Boca Raton, FL, USA, December 2012, pp 240–245

5. Suresh M, Jain K (2017) Subpixel level mapping of remotely sensed imagery to extract fractional abundances using colorimetry. E J Remote Sens Spat Sci. https://doi.org/10.1016/j.ejrs.2017.02.004

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