Articles with "naive bayes" as a keyword



Photo from archive.org

Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation

Sign Up to like & get
recommendations!
Published in 2021 at "Soft Computing"

DOI: 10.1007/s00500-020-05297-6

Abstract: Naïve Bayes (NB) is a well-known probabilistic classification algorithm. It is a simple but efficient algorithm with a wide variety of real-world applications, ranging from product recommendations through medical diagnosis to controlling autonomous vehicles. Due… read more here.

Keywords: vulnerabilities review; naive bayes; bayes applications; code ... See more keywords
Photo by goian from unsplash

Toward naive Bayes with attribute value weighting

Sign Up to like & get
recommendations!
Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3393-5

Abstract: AbstractNaive Bayes makes an assumption regarding conditional independence, but this assumption rarely holds true in real-world applications, so numerous attempts have been made to relax this assumption. However, to the best of our knowledge, few… read more here.

Keywords: attribute value; naive bayes; cavw; value ... See more keywords
Photo by thisisengineering from unsplash

On user rationale in software engineering

Sign Up to like & get
recommendations!
Published in 2018 at "Requirements Engineering"

DOI: 10.1007/s00766-018-0293-2

Abstract: Rationale refers to the reasoning and justification behind human decisions, opinions, and beliefs. In software engineering, rationale management focuses on capturing design and requirements decisions and on organizing and reusing project knowledge. This paper takes… read more here.

Keywords: naive bayes; rationale concepts; software engineering; rationale ... See more keywords
Photo from wikipedia

A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"

DOI: 10.1109/jas.2022.105467

Abstract: With the increasing intelligence and integration, a great number of two-valued variables (generally stored in the form of 0 or 1) often exist in large-scale industrial processes. However, these variables cannot be effectively handled by… read more here.

Keywords: naive bayes; weighted mixed; feature weighted; model ... See more keywords
Photo from wikipedia

Efficient Jamming Identification in Wireless Communication: Using Small Sample Data Driven Naive Bayes Classifier

Sign Up to like & get
recommendations!
Published in 2021 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2021.3064843

Abstract: The identification of malicious jamming pattern is significant for wireless communication system to adopt targeted anti-jamming approaches. Efficient identification of malicious jamming patterns requires sufficient sample data and computing resources for the complex electromagnetic environment.… read more here.

Keywords: naive bayes; sample data; small sample; bayes classifier ... See more keywords
Photo by gavintang from unsplash

A Correlation-Based Feature Weighting Filter for Naive Bayes

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2018.2836440

Abstract: Due to its simplicity, efficiency, and efficacy, naive Bayes (NB) has continued to be one of the top 10 algorithms in the data mining and machine learning community. Of numerous approaches to alleviating its conditional… read more here.

Keywords: naive bayes; feature weighting; feature; based feature ... See more keywords
Photo by thinkmagically from unsplash

User Identification Across Multiple Social Networks Based on Naive Bayes Model.

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3202709

Abstract: Recently, the problem of user identification across multiple social networks (UIAMSNs) has attracted considerable attention since it is a prerequisite for many downstream tasks and applications. Although substantial network feature-based approaches have been proposed to… read more here.

Keywords: user identification; bayes model; identification across; based naive ... See more keywords
Photo from wikipedia

Discovery of Knowledge in the Incidence of a Type of Lung Cancer for Patients through Data Mining Models

Sign Up to like & get
recommendations!
Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/6058213

Abstract: This paper presents the research results on the contribution of user-centered data mining based on the standard principles, focusing on the analysis of survival and mortality of lung cancer cases. Researchers used anonymized data from… read more here.

Keywords: naive bayes; lung cancer; mining; data mining ... See more keywords
Photo from wikipedia

Retracted: Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China

Sign Up to like & get
recommendations!
Published in 2023 at "Journal of Healthcare Engineering"

DOI: 10.1155/2023/9815658

Abstract: [This retracts the article DOI: 10.1155/2021/9171756.]. read more here.

Keywords: application internet; bayes public; retracted application; internet things ... See more keywords
Photo by florianklauer from unsplash

An Integrated Approach Using Optimized Naive Bayes Classifier and Optical Flow Orientation for Video Object Retrieval

Sign Up to like & get
recommendations!
Published in 2021 at "International Journal of Intelligent Engineering and Systems"

DOI: 10.22266/ijies2021.0630.19

Abstract: The popularity of video recordings either on mobile devices or video surveillance has contributed to the demand for video data applications. As a result, the management of video has become significant in the object retrieval… read more here.

Keywords: video; retrieval; object retrieval; naive bayes ... See more keywords
Photo by davidclode from unsplash

Fault Detection and Classification of Shunt Compensated Transmission Line Using Discrete Wavelet Transform and Naive Bayes Classifier

Sign Up to like & get
recommendations!
Published in 2020 at "Energies"

DOI: 10.3390/en13010243

Abstract: This paper presents the methodology to detect and identify the type of fault that occurs in the shunt compensated static synchronous compensator (STATCOM) transmission line using a combination of Discrete Wavelet Transform (DWT) and Naive… read more here.

Keywords: wavelet; naive bayes; bayes classifier; shunt compensated ... See more keywords