Results 111 to 120 of about 97,307 (202)

Application of bagging, boosting and stacking to intrusion detection

, 2012
This paper investigates the possibility of using ensemble algorithms to improve the performance of network intrusion detection systems. We use an ensemble of three different methods, bagging, boosting and stacking, in order to improve the accuracy and ...
Prugel-Bennett, Adam, Syarif, Iwan, Wills, Gary, Zaluska, Ed   +3 more
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Comparative Study of Classification Algorithms: Holdouts as Accuracy Estimation [PDF]

, 2015
Penelitian ini bertujuan untuk mengukur dan membandingkan kinerja lima algoritma klasifikasi teks berbasis pembelajaran mesin, yaitu decision rules, decision tree, k-nearest neighbor (k-NN), naïve Bayes, dan Support Vector Machine (SVM), menggunakan ...
Sondakh, D. E. (Debby)
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Music Similarity Estimation [PDF]

, 2018
Music is a complicated form of communication, where creators and culture communicate and expose their individuality. After music digitalization took place, recommendation systems and other online services have become indispensable in the field of Music ...
Sridharan, Anusha
core   +1 more source

PERBANDINGAN METODE NAÏVE BAYES, KNN, DECISION TREE PADA LAPORAN WATER LEVEL JAKARTA

Jurnal Ilmiah Infokam, 2019
Tujuan dari penelitian ini adalah membandingkan antara metode Naivebayes, KNN, Decision Tree. Dimana data dari penelitan adalah data set laporan ketinggian air di Jakarta berasal dari data.go.id, pada penelitian ini akan diukur confusion matrix, precision, recall, accuracy, hingga f-measure kemudian juga dihitung root mean squere error dari tiap-tiap
openaire   +1 more source

Comparative Analysis of KNN and Neavy Bayes Algorithms in Socio-Economic Data Classification in Indonesia

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
The global economy continues to recover as trade flows, employment, and incomes improve. However, the economic recovery is uneven across countries and business sectors.
Kiki Buhori, Andrianingsih
doaj   +1 more source

Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. [PDF]

J Cheminform, 2022
Tarasova OA, Rudik AV, Biziukova NY, Filimonov DA, Poroikov VV.   +4 more
europepmc   +2 more sources

Naïve Bayes evidence accumulation K-modes clustering: A new method for classifying binary data and its application on real data of injecting drug users

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: Clustering is the method of classifying discrete data such as Kmodes, and Naïve Bayes classifier is the classification to predict the unknown real classes.
Zahra Zamaninasab, Hamid Sharifi, Abbas Bahrampour   +2 more
doaj  

Comparison of Multinomial Naïve Bayes and Bernoulli Naïve Bayes on Sentiment Analysis of Kurikulum Merdeka with Query Expansion Ranking

SISTEMASI
Social media is one of the public services for conveying or obtaining news, opinions and comments on an issue. One of the social media that is in great demand by the people of Indonesia is Twitter. Kurikulum merdeka is one of the most discussed issues currently on Twitter.
Muhammad Yusran, Siswanto Siswanto, Anna Islamiyati   +2 more
openaire   +2 more sources

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes. [PDF]

Sensors (Basel), 2023
Maciura Ł, Cieplak T, Pliszczuk D, Maj M, Rymarczyk T.   +4 more
europepmc   +1 more source

ANALISIS SENTIMEN TERHADAP PASANGAN CAPRES-CAWAPRES PEMILU 2024 DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAIVE BAYES [PDF]

In 2024, Indonesia will hold a general election that includes the election of the President and Vice President for the period 2024-2029. The purpose of this research is to analyze public sentiment towards presidential and vice presidential candidate ...
Maulana, Muhammad Rafi
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