Results 41 to 50 of about 27,156 (209)
— Determining student majors is an important process in the world of education that can affect students' future. In this thesis, we conducted a study on determining student majors using the Naive Bayes Classifier algorithm at SMK Hidayatul Islam.
Dwi Yanto +3 more
doaj +1 more source
Spam Email Detection using Naïve Bayes classifier [PDF]
Spam email detection is still a considerable and ongoing challenge in today’s online environment, as the number of unsolicited emails keeps growing exponentially.
Wang Liansong
doaj +1 more source
Abstrak Setiap hari server Twitter menerima data tweet dengan jumlah yang sangat besar, dengan demikian, kita dapat melakukan data mining yang digunakan untuk tujuan tertentu. Salah satunya adalah untuk visualisasi kemacetan lalu lintas di sebuah kota.
Sandi Fajar Rodiyansyah, Edi Winarko
doaj +3 more sources
Background Uncertainty often affects molecular biology experiments and data for different reasons. Heterogeneity of gene or protein expression within the same tumor tissue is an example of biological uncertainty which should be taken into account when ...
Piergiorgi Paolo +4 more
doaj +1 more source
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier +2 more
doaj +1 more source
Abstrak - Penyakit ginjal kronis (PGK) merupakan masalah kesehatan masyarakat global dengan prevalensi dan insiden gagal ginjal yang meningkat, prognosis yang buruk dan biaya yang tinggi.
Toni Arifin, Daniel Ariesta
doaj +1 more source
A Naive Bayes Classifier for Protein Function Prediction
A Naive Bayes classifier tool is presented for annotating proteins on the basis of amino acid motifs, cellular localization and protein-protein interactions. Annotations take the form of posterior probabilities within the Molecular Function hierarchy of the Gene Ontology (GO).
Jukka, Kohonen +4 more
openaire +2 more sources
Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks [PDF]
Wiem Chebil +4 more
openalex +1 more source
Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. [PDF]
Tarasova OA +4 more
europepmc +2 more sources
Federated Learning with Discriminative Naive Bayes Classifier
Federated Learning has emerged as a promising approach to train machine learning models on decentralized data sources while preserving data privacy. This paper proposes a new federated approach for Naive Bayes (NB) classification, assuming discrete variables.
Pablo Torrijos +3 more
openaire +2 more sources

