Improved naive Bayes classification algorithm for traffic risk management
نویسندگان
چکیده
Abstract Naive Bayesian classification algorithm is widely used in big data analysis and other fields because of its simple fast structure. Aiming at the shortcomings naive Bayes algorithm, this paper uses feature weighting Laplace calibration to improve it, obtains improved algorithm. Through numerical simulation, it found that when sample size large, accuracy more than 99%, very stable; attribute less 400 number categories 24, 95%. empirical research, can greatly correct rate discrimination from 49.5 92%. robustness analysis, has higher accuracy.
منابع مشابه
Improved Naive Bayes Classifier for Android Malware Classification
According to a recent F-secure report, 97% of mobile malware is designed for the Android platform which has a growing number of consumers. In order to protect consumers from downloading malicious applications, there should be an effective system of malware classification, that can detect previously unseen viruses. In this paper, we present a scalable and highly accurate method for malware class...
متن کاملNaive-Bayes for Sentiment Classification
This report details the findings in building a naive Bayes sentiment classifier for a IMDB movie-review data set using Scala and ScalaNLP. We studied the unigram or bagof-words Bernoulli and Multinomial models and a number of different feature selection techniques, including term frequency, mutual information and Chi-squared. 1. DATA CORPUS The corpus contains of 2000 rated movie reviews, compr...
متن کاملAn Improved Learning Algorithm for Augmented Naive Bayes
Data mining applications require learning algorithms to have high predictive accuracy, scale up to large datasets, and produce compre-hensible outcomes. Naive Bayes classiier has received extensive attention due to its eeciency, reasonable predictive accuracy, and simplicity. However , the assumption of attribute dependency given class of Naive Bayes is often violated, producing incorrect proba...
متن کاملNaive Bayes Based Network Traffic Classification Using Correlation Information
Traffic classification is of fundamental importance to numerous other network activities, from security monitoring to accounting, and from Quality of Service to providing operators with useful forecasts for long-term provisioning. Naive Bayes estimator is applied to categorize the traffic by application. Uniquely, this work capitalizes on hand-classified network data, using it as input to a sup...
متن کاملDiagnosis of Pulmonary Tuberculosis Using Artificial Intelligence (Naive Bayes Algorithm)
Background and Aim: Despite the implementation of effective preventive and therapeutic programs, no significant success has been achieved in the reduction of tuberculosis. One of the reasons is the delay in diagnosis. Therefore, the creation of a diagnostic aid system can help to diagnose early Tuberculosis. The purpose of this research was to evaluate the role of the Naive Bayes algorithm as a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2021
ISSN: ['1687-6180', '1687-6172']
DOI: https://doi.org/10.1186/s13634-021-00742-6