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Automatic design of machine learning via evolutionary computation: A survey
Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …
knowledge from data, has been widely applied to practical applications, such as …
RTIDS: A robust transformer-based approach for intrusion detection system
Z Wu, H Zhang, P Wang, Z Sun - IEEE Access, 2022 - ieeexplore.ieee.org
Due to the rapid growth in network traffic and increasing security threats, Intrusion Detection
Systems (IDS) have become increasingly critical in the field of cyber security for providing …
Systems (IDS) have become increasingly critical in the field of cyber security for providing …
Seleksi Fitur Information Gain untuk Klasifikasi Penyakit Jantung Menggunakan Kombinasi Metode K-Nearest Neighbor dan Naïve Bayes
Penyakit jantung merupakan salah satu penyakit tidak menular yang dapat menyebabkan
kematian. Penyakit ini terjadi karena adanya penyempitan pada pembuluh darah sehingga …
kematian. Penyakit ini terjadi karena adanya penyempitan pada pembuluh darah sehingga …
[PDF][PDF] Optimization of Feature Selection Using Genetic Algorithm in Naïve Bayes Classification for Incomplete Data.
In the case of high dimensional data with missing values, the process of collecting data from
various sources may be miss accidentally, which affected the quality of learning outcomes. a …
various sources may be miss accidentally, which affected the quality of learning outcomes. a …
Comparison of Naive Bayes and K-NN method on tuition fee payment overdue prediction
Attending basic education is an obligation for all Indonesian citizens. The financial cost is
one of the input components to implement an education or even can be considered as the …
one of the input components to implement an education or even can be considered as the …
[PDF][PDF] An improved Arabic text classification method using word embedding.
Feature selection (FS) is a widely used method for removing redundant or irrelevant features
to improve classification accuracy and decrease the model's computational cost. In this …
to improve classification accuracy and decrease the model's computational cost. In this …
Estimation System For Late Payment Of School Tuition Fees
Abstract The Surakarta Al-Islam Vocational School is a private educational institution that
requires all students to pay school tuition fees. Education is an obligation for all Indonesian …
requires all students to pay school tuition fees. Education is an obligation for all Indonesian …
Analisis Sentimen Review Aplikasi PeduliLindungi Menggunakan Seleksi Fitur Information Gain Berbasis SVM
D Abror - Indonesian Journal on Software Engineering (IJSE), 2023 - ejournal.bsi.ac.id
Aplikasi PeduliLindungi merupakan salah satu langkah pemerintah Indonesia dalam
menekan penyebaran virus Covid 19. Aplikasi ini terdapat pada google play store yang …
menekan penyebaran virus Covid 19. Aplikasi ini terdapat pada google play store yang …
Klasifikasi Berita Menggunakan Algoritma Naive Bayes Classifer Dengan Seleksi Fitur Dan Boosting
Penelitian yang dilakukan ini merupakan bagian dari text mining untuk klasifikasi konten
berita yang telah memiliki label berdasarkan katagori berita pada situs detik. com. Proses …
berita yang telah memiliki label berdasarkan katagori berita pada situs detik. com. Proses …
[PDF][PDF] Feature Selection Approach based on Firefly Algorithm and Chi-square.
Dimensionality problem is a well-known challenging issue for most classifiers in which
datasets have unbalanced number of samples and features. Features may contain …
datasets have unbalanced number of samples and features. Features may contain …