Penerapan Metode Naïve Bayes Untuk Klasifikasi Sms Spam Menggunakan Java Rogramming
Short Message Service (SMS) adalah salah satu layanan komunikasi untuk mengirim dan menerima pesan singkat berupa teks pada telepon seluler (ponsel). SMS masih digunakan setiap harinya karena kemudahan penggunaan, sederhana, cepat, dan murah. Meningkatnya penggunaan SMS dimanfaatkan oleh banyak pih...
Saved in:
| Main Authors: | Eko Ardian Pranata, Subari Subari, Go Frendi Gunawan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LPPM STIKI Malang
2019-12-01
|
| Series: | J-Intech (Journal of Information and Technology) |
| Subjects: | |
| Online Access: | https://jurnal.stiki.ac.id/J-INTECH/article/view/435 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SMS spam detection using BERT and multi-graph convolutional networks
by: Linjie Shen, et al.
Published: (2025-01-01) -
Persian SMS Spam Detection using Machine Learning and Deep Learning Techniques
by: Roya Khorashadizade, et al.
Published: (2022-01-01) -
SMS Spam Detection System Based on Deep Learning Architectures for Turkish and English Messages
by: Hakan Can Altunay, et al.
Published: (2024-12-01) -
Research of a spam filter based on improved naive Bayes algorithm
by: 曹翠玲, et al.
Published: (2017-03-01) -
Study on an improved naive Bayes algorithm in spam filtering
by: Lei YANG, et al.
Published: (2017-04-01)