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A Secured Web-based Health Care Platform Incorporating Naïve Bayes Classifier

K. R.Sarumathi, R.Kanagaraj R.Kanagaraj
2014 International Journal of Computer Applications  
The experimental result improves the security and meanwhile, by using ontology and bayes' theorem the accuracy of the result is increased.  ...  The intention is to create models of composite services to individuals through various key techniques of service composition supporting branch and parallel control structures.  ...  The complexity in composition of the services were analyzed and developed algorithms for composition, which work on all the e-services and respond with a single composite model of the services based on  ... 
doi:10.5120/15698-4606 fatcat:w56wdqkrqrh77bol73jei3eqyy

A New Recommender System for Hashtags

Varun Ranganathan, Tanya Mehrotra
2018 International Journal of Computer Applications  
Hashtags are one of the trendiest methods to label content on the internet. They are used to cluster data which in turn, results in its easier retrieval.  ...  The results obtained by this new model resulted in far better recommendation than when each of the models were implemented separately.  ...  Based on the Bayes Theorem. it predicts membership probabilities for each class such as the probability that given record or data point belongs to a particular class.  ... 
doi:10.5120/ijca2018916871 fatcat:hj3qagosorhrvnvxa5yqupldde

The Structural Safety Assessment of the Overloaded Members of Highway Bridges

A. Kudzys
2009 Baltic Journal of Road and Bridge Engineering  
A transformed Bayes theorem in the analysis of revised failure probabilities of overloaded members of highway bridges is recommended.  ...  Bayes theorem in revised reliability analysis When additional information on overloaded existing structures is gathered, it might be applied to improve the primary their reliability indices using the Bayes  ...  According to Eq (29), the revised failure probability of the beam the analysis of which is based on the Baysian theorem is: P f,r = (1 -0.999754) × (1 -0.7394) = 0.000064.  ... 
doi:10.3846/1822-427x.2009.4.149-155 fatcat:6tyxkjtxjrhmlcnezvsd6lgvbi

Bayesian Analysis of Gross Domestic Product in Nigeria

2022 Zenodo  
In order to determine their respective posterior distributions, the Bayes theorem was also applied to both the conjugate and non-informative priors.  ...  The application of Bayes theorem to the data set, assumed a beta distribution for conjugate prior, while a uniform distribution was assumed for the Noninformative prior.  ...  The Bayes theorem is used to blend prior information and data-based information to produce a posterior distribution.  ... 
doi:10.5281/zenodo.6471750 fatcat:chxruq4qajf7xjwoomvx7iseni

Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing [article]

Alex Deng and Jiannan Lu and Shouyuan Chen
2016 arXiv   pre-print
A/B testing is one of the most successful applications of statistical theory in modern Internet age.  ...  One problem of Null Hypothesis Statistical Testing (NHST), the backbone of A/B testing methodology, is that experimenters are not allowed to continuously monitor the result and make decision in real time  ...  Based on Table 1 , one could argue that early stopping is always superior than the fixed horizon test, and should be recommended. More discussions are in Section 6.  ... 
arXiv:1602.05549v1 fatcat:os3pvn5b4baoxfd2ssgljkxjxm

Heart Disease Prediction Model Using Naïve Bayes Algorithm and Machine Learning Techniques

Maria Yousef, Prof. Khaled Batiha
2021 International Journal of Engineering & Technology  
This proposed approach uses the Naïve Bayes technique based on the Bayes theorem to select the best subset of features for the next classification phase, also to handle the high dimensionality problem  ...  The dependency between attributes is measured by the conditional probability, which can be easily computed by Bayes theorem.  ...  The proposed method was compared with other methods based on PCA and GA, it was found that the (NB) based on Bayes theorem is a promising approach for feature selection in terms of a classification accuracy  ... 
doi:10.14419/ijet.v10i1.31310 fatcat:fyicpv23ebfy7k4rgifo6fbnuu

Ecological safety of territories at introduction of modern technologies of processing of vegetable wastes

V.M. Trysnyuk
2018 Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine  
The worked out practical recommendations are in relation to reduction of negative influence on the environment of vegetable wastes that is passed for introduction in further activity in relation to providing  ...  Conclusions For prognostication of indexes of ecological safety of territory at handling vegetable wastes, the modified procedure based on the use of Bayes' theorem is involved.  ...  At prognostication of indexes of ecological safety of the inhabited territory, it is needed to apply the procedure, based on Bayes' theorem taking into account the complex of indexes that characterize  ... 
doi:10.32347/2411-4049.2018.2.49-53 fatcat:gonmlxhsxnfmpelqo3pytkdvbm

The Bayes Security Measure [article]

Konstantinos Chatzikokolakis, Giovanni Cherubin, Catuscia Palamidessi, Carmela Troncoso
2020 arXiv   pre-print
These guarantees, on the downside, result on high penalties on the system's performance. In this paper, we study the Bayes security measure.  ...  We show that the minimizer of this measure, which indicates its security lower bound, i) is independent from the prior on the secrets, ii) can be estimated efficiently in black-box scenarios, and iii)  ...  The minimum of {β(π, C)|π ∈ D(S), G(π) > 0} exists, and it is in one of the corner points of G. Proof. The statement follows from the definition β(π, C) =  ... 
arXiv:2011.03396v1 fatcat:jbhdbibnnrfvzgpdmis2ngmnlu

Tourist Attraction Recommendation Method Based on Megadata and Artificial Intelligence Algorithm

Laiyan Yun, Huihua Jiao, Kai Lu, Jun Ye
2022 Wireless Communications and Mobile Computing  
Secondly, the current online travel business recommendation for users has the problem of low accuracy. The reason is that the services provided are still in traditional recommendation algorithm.  ...  However, as an emerging industry, users often need to spend a lot of time to choose travel services that match their needs because of the complex amount of relevant information.  ...  Improved Hybrid Recommendation Algorithm Based on Artificial Intelligence.  ... 
doi:10.1155/2022/4461165 fatcat:fdqj77o2gved7gkyvkcpxtr4f4

Twitter Sentiment Analysis Using Deep Learning Techniques

S. Kasifa Farnaaz and A. Sureshbabu
2022 International journal of modern trends in science and technology  
Twitter is a web-based application that integrates with a blog and a wide range of contacts, allowing users to send brief 140-character messages.  ...  Furthermore, we're looking at several ways to present an itemized positive assessment on Twitter News.  ...  Using emotional analysis, the SVM, DT, random forests and Bayes theorem are used to categorise text data [6].  ... 
doi:10.46501/ijmtst0802035 fatcat:64ykzecyg5gjbex5nmlyzkxtu4

The Waiting Time Analysis of Educated Workers in Sumbawa Regency

Siti Maryam, Akung Daeng, Dwi Saputri
2020 AFEBI Economic and Finance Review  
Based on the Bayes theorem test, there are 28% of educated workers who accept any job, and still consider the level of wages, types of work, and level of education.  ...  Based on the results of the Bayes theorem calculation, only 31 percent of the sample of educated workers will not accept any job and do not consider gender status, education majors, and work experience  ...  Suggestion Based on the conclusions that have been drawn, the following recommendations or suggestions will be given regarding research results.  ... 
doi:10.47312/aefr.v5i01.290 fatcat:slw6hlvwcvd6vgwdibof45makm

A Comprehensive Performance Analysis of Various Classifier Models for Coronary Artery Disease Prediction

Baranidharan Balakrishnan, Vinoth Kumar C. N. S.
2021 International Journal of Cognitive Informatics and Natural Intelligence  
In this work, the most popular ML models are investigated and compared with one other for heart disease prediction based on various metrics.  ...  The base classifiers such as Support Vector Machine (SVM), Logistic regression, Naïve Bayes, Decision Tree, K Nearest Neighbour are used for predicting heart disease.  ...  Thus Bayesian theorem is the conditional probability theorem. Naïve Bayes model is based on the Bayesian concept and it is also based on conditional probability.  ... 
doi:10.4018/ijcini.20211001.oa36 fatcat:kwnu3bhnj5b47kxg5ptycamfti

Probability-Based Concrete Carbonation Prediction Using On-Site Data

Hyunjun Jung, Seok-Been Im, Yun-Kyu An
2020 Applied Sciences  
In this study, the Fick's first law and a Bayes' theorem-based carbonation prediction approach is newly proposed using on-site data, which were obtained over 19 years.  ...  The proposed probabilistic approach has shown a reliable prediction of concrete carbonation and remaining service life.  ...  Jung et al. estimated the corrosion resistivity of reinforced concrete structures exposed to chloride attacks, and their remaining service life, using Bayes' theorem [16] .  ... 
doi:10.3390/app10124330 fatcat:w3nvmmv7pzeongnlkiok3wos4u

The Reverend Thomas Bayes, FRS: A Biography to Celebrate the Tercentenary of His Birth

D. R. Bellhouse
2004 Statistical Science  
Thomas Bayes, from whom Bayes theorem takes its name,  ...  They did not mince their words: Bayes' Theorem must be based on experience, the experience that where we are à priori in ignorance all values are equally likely to occur. . . . the indiscriminate use of  ...  Berkeley's argument was based on the derivative of x n .  ... 
doi:10.1214/088342304000000189 fatcat:tahe55ou7be55cbaoeae6ux2wi

Predicting fatigue damage in composites: A Bayesian framework

Manuel Chiachío, Juan Chiachío, Guillermo Rus, James L. Beck
2014 Structural Safety  
2014) Predicting fatigue damage in composites : a Bayesian framework. Structural Safety, 51. pp. 57-68. ISSN 0167-4730 , http://dx.  ...  The overall procedure is demonstrated by an example with test data consisting of the evolution of damage in glass-fiber composite coupons subject to tensiontension fatigue loads.  ...  The authors also appreciate the reviewers' efforts on the manuscript to provide valuable comments and constructive suggestions.  ... 
doi:10.1016/j.strusafe.2014.06.002 fatcat:q53vatkw5zf2vfaamukltc7tym
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