Learning Naive Bayes Classifier from Noisy Data
, 2003 Classification is one of the major tasks in knowledge discovery and data mining. Naive Bayes classifier, in spite of its simplicity, has proven surprisingly effective in many practical applications.
Yirong Yang +3 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim +5 more
wiley +1 more source
Parametric design method of building structured cabling system oriented to data mining
IET Networks, EarlyView., 2022 This paper puts forward the method of secondary development and design software through the research of building structured cabling system (SCS), and uses data mining technology to carry out parametric design of building SCS. Then, the feasibility of the design is tested by comparing the data of the traditional design and the parametric design ...
Bing Wang, Wei Yue
wiley +1 more source
Ambient Healthcare Approach with Hybrid Whale Optimization Algorithm and Naïve Bayes Classifier. [PDF]
Sensors (Basel), 2021 Alwateer M +5 more
europepmc +1 more source
A Kernel-Based Semi-Naive Bayes Classifier Using P-trees
, 2008 The Naive Bayes classifier, despite its simplistic nature, has remained popular over the years and outperforms more complex classifiers in many settings, in particular where the feature space dimension is high.
n.n.
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Opinion Mining dengan Menggunakan Multinomial Naive Bayes Classifier pada Blog [PDF]
, 2012 ABSTRAKSI: Opini ada salah satu alat yang menggambarkan ekspresi seseorang. Opini saat ini sangat dibutuhkan untuk menentukan kualitas produk perusahaan terhadap konsumen.
Nur Azizah Vidya
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Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan +7 more
wiley +1 more source
Improving Naive Bayes classifier using conditional probabilities
, 2010 Naive Bayes classifier is the simplest among Bayesian Network classifiers. It has shown to be very efficient on a variety of data classification problems.
Mammadov, Musa +2 more
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Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy. [PDF]
Mater Today Proc, 2022 Deepa N, Sathya Priya J, Devi T.
europepmc +1 more source