International Journal of Intelligence Science

International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.org/journal/ijis
E-mail: ijis@scirp.org
"Mobile SMS Spam Filtering for Nepali Text Using Naïve Bayesian and Support Vector Machine"
written by Tej Bahadur Shahi, Abhimanu Yadav,
published by International Journal of Intelligence Science, Vol.4 No.1, 2014
has been cited by the following article(s):
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[1] Memetic algorithm for short messaging service spam filter using text normalization and semantic approach
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[2] Application of Machine Learning Classification to Detect Fraudulent E-wallet Deposit Notification SMSes
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[3] Using an Artificial Neural Network to Improve Email Security
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[4] EVALUATION OF MACHINE LEARNING ALGORITHMS FOR FILTERING AND ISOLATING SPAMMED MESSAGES
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[5] A New Approch to Design of an Email Classifier
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[6] An Empirical Study on the Classification of Chinese News Articles by Machine Learning and Deep Learning Techniques
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[7] Improving Performance of Mobile SMS Classification Using TF-IDF & Multinational Naive Bayes Classifier
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[8] Nepali news classification using Naïve Bayes, Support Vector Machines and Neural Networks
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[9] Building Bi-lingual Anti-Spam SMS Filter
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[10] Identifikasi SMS SPAM Berbahasa Indonesia Menggunakan Algoritma Support Vector Machine
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[11] 基于词向量和卷积神经网络的垃圾短信识别方法
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[12] KLASIFIKASI PESAN SMS MENGGUNAKAN ALGORITMA NAIVE BAYES DENGAN SELEKSI FITUR GENETIC ALGORITHM
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[13] Nepali SMS filtering Using Decision Trees, Neural Network and Support Vector Machine
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[14] Nepali Multi-Class Text Classification
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[15] arabic sms spam detection based on semantic classification
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[16] Optimizing Naïve Bayes Algorithm for SMS Spam Filtering on Mobile Phone to Reduce the Consumption of Resources
2017
[17] Identifikasi SMS Spam bahasa Indonesia Menggunakan Algoritma Twitter-LDA
2017
[18] Rule Based Sentiment Analysis of Punjabi Tweets Using Vector Evaluation Method
2017
[19] Cybercrime: Suspicious Viber Messages Detec-tion Model
International Journal of Scientific & Engineering Research, 2017
[20] Komparasi Algoritma Support Vector Machine, Naïve Bayes Dan C4. 5 Untuk Klasifikasi SMS
2017
[21] Simple Detection Model to Suspicious Viber Messages
Diyala Journal For Pure Science, 2017
[22] A New SMS Spam Detection Method Using Both Content-Based and Non Content-Based Features
Advanced Computer and Communication Engineering Technology, 2016
[23] Improving Nepali Document Classification by Neural Network
2016
[24] The performance of soft computing techniques on content-based SMS spam filtering
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[25] Efficient Support Vector Machines for Spam Detection: A Survey
International Journal of Computer Science and Information Security, 2015
[26] Implementasi Dan Analisis Klasifikasi Spam Pada Pesan Singkat Seluler Dengan Pendekatancollaborative Filtering Menggunakan Naïve Bayes
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[27] Sentiment analysis in Nepali: Exploring machine learning and lexicon-based approaches
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