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A Focused Crawler Based on Naive Bayes Classifier
2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 2010The exponential growth of information on the World Wide Web makes it increasingly difficult to discover relevant data about a specific topic. In this case, growing interest is emerging in focused crawler, a program that traverses the Internet by choosing relevant pages to a predefined topic and neglecting those out of concern.
Wenxian Wang +4 more
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An Improved Naive Bayes Classifier on Imbalanced Attributes
International Journal of Organizational and Collective Intelligence, 2019Data plays a major and prominent role in this modern information era. Classification is a data mining task to discover the hidden information from large amounts of data stored in the repository. This process becomes extremely challenging in case of highly imbalanced dataset.
S. Geetha 0001, R. Maniyosai
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Comparative analysis of SVM and Naive Bayes classifier for the SEMG signal classification
, 2020The surface electromyography (sEMG) signals are the human muscle signals which are employed in various biomedical and engineering applications. Classification of sEMG signals acts as a vital roleinthe developmentof an assistive device for older age ...
Y. Narayan
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Prediction of conotoxin superfamilies by the Naive Bayes classifier
2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017Conotoxins are a group of high specialized and functionally diverse peptides. Because the conotoxins are selectivity for membrane receptors and ion channels, so they can make valuable biological probes and drug targets. Successful prediction of the conotoxin superfamily peptide has important biological meaning in the pharmacology of the neurotoxins. In
Haiyan Huo, Lei Yang
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Global Conference on Consumer Electronics, 2020
Spam or unsolicited emails that are used by spammers can cause huge loss to both the email users and the email server. Therefore, in order to detect spam emails not to enter into our mailbox, a developed email spam classification system is required. This
Thae Ma Ma, K. Yamamori, A. Thida
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Spam or unsolicited emails that are used by spammers can cause huge loss to both the email users and the email server. Therefore, in order to detect spam emails not to enter into our mailbox, a developed email spam classification system is required. This
Thae Ma Ma, K. Yamamori, A. Thida
semanticscholar +1 more source
Mixture of latent multinomial naive Bayes classifier
Applied Soft Computing, 2018Abstract Naive Bayes classifier has been extensively applied in various domains in the past few decades due to its simple structure and remarkable predictive performance. However, it is based on a strong assumption which confines its usage for many real-world applications; conditional independence of attributes given class information. In this paper,
Nima Shiri Harzevili +1 more
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A Novel Approach to Predict Diabetes by Using Naive Bayes Classifier
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184), 2020Diabetes can be mentioned as one of the most fatal and constant sicknesses that may cause a arise in the glucose levels. The main target of this experiment is to analyze the database of diabetic patients and to predict the diabetic disease in the early ...
K. Priya +6 more
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Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty
Proceedings of the 2010 SIAM International Conference on Data Mining, 2010Existing algorithms for positive unlabeled learning (PU learning) only work with certain data. However, data uncertainty is prevalent in many real-world applications such as sensor network, market analysis and medical diagnosis. In this paper, based on positive naive Bayes (PNB), which is a PU learning algorithm for certain data, we propose an ...
Jiazhen He +3 more
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A spatial assessment of urban waterlogging risk based on a Weighted Naïve Bayes classifier.
Science of the Total Environment, 2018Urban waterlogging occurs frequently and often causes considerable damage that seriously affects the natural environment, human life, and the social economy. The spatial evaluation of urban waterlogging risk represents an essential analytic step that can
Xianzhe Tang +4 more
semanticscholar +1 more source