Results 31 to 40 of about 60,977 (298)
Pilar Nusa Mandiri, 2022 This study predicts and classifies benign and malignant breast cancer using 3 classification models. The method used in this research is Random Forest, Naïve Bayes and AdaBoost.
Bahtiar Imran +5 more
doaj +1 more source
Scientific Journal of Informatics, 2018 The beef cattle quality certainly affects the quality of meat to be consumed. This research performs data processing to do the classification of beef cattle quality. The data used are 196 data record taken from data in 2016 and 2017.
Feroza Rosalina Devi +2 more
doaj +1 more source
Implementation of Human Cognitive Bias on Naïve Bayes
EAI Endorsed Transactions on Creative Technologies, 2016 We propose a human-cognition inspired classification model based on Naïve Bayes. Our previous study showed that human-cognitively inspired heuristics is able to enhance the prediction accuracy of text classifier based on Naïve Bayes.
Hidetaka Taniguchi +2 more
doaj +1 more source
Indonesian Journal of Information Systems, 2020 Stress is generally defined as a state where someone is mentally disturbed as the response to the adversity that he/she experiences. Junior High School students usually are not aware of the stress that they encounter.
Yohanes Christopher Tapidingan +1 more
doaj +1 more source
Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection
Journal of Information Systems Engineering and Business Intelligence, 2022 Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares the Mamdani fuzzy logic and Naïve Bayes in detecting dental diseases.
Linda Perdana Wanti, Oman Somantri
doaj +1 more source
Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022 Naive Bayes is a popular probabilistic model appreciated for its simplicity and interpretability. However, the usual form of the related classifier suffers from two major problems. First, as caring about the observations' law, it cannot consider complex features.
Elie Azeraf +2 more
openaire +2 more sources
Evolving extended naive Bayes classifiers [PDF]
, 2006 Naive Bayes classifiers are a very simple, but often effective tool for classification problems, although they are based on independence assumptions that do not hold in most cases.
Angelov, Plamen +3 more
core +1 more source
Naive Bayes classification model for isotopologue detection in LC-HRMS data
, 2021 Isotopologue identification or removal is a necessary step to reduce the number of features that need to be identified in samples analyzed with non-targeted analysis.
Peter, Schoenmakers +5 more
core +1 more source
KLASIFIKASI KEMANCETAN LALU LINTAS DI INDONESIA MENGGUNAKAN METODE NAIVE BAYES CLASSIFICATION
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023 Tujuan dari penelitian ini untuk data menganalisis akurasi kemancetan menggunakan google colab dalam mendeteksi kemacetan berdasarkan provinsi di indonesia, penulis mencoba menguji strategi dalam menangani Kemacetan wilayah indonesia, dengan ...
abdul robi padri
doaj +1 more source
Pattern RecognitionIn this paper we introduce the so-called Generalized Naive Bayes structure as an extension of the Naive Bayes structure. We give a new greedy algorithm that finds a good fitting Generalized Naive Bayes (GNB) probability distribution. We prove that this fits the data at least as well as the probability distribution determined by the classical Naive ...
Edith Alice Kovács +3 more
openaire +2 more sources