نتایج جستجو برای: naïve bayes algorithm

تعداد نتایج: 783545  

Journal: :International Journal of Advanced Trends in Computer Science and Engineering 2020

Journal: :Sinkron : jurnal dan penelitian teknik informatika 2023

One important factor for creating a healthy and growing company is the existence of sales rewards employees to achieve targets every month. Assessing not an easy thing when there are so many employees. This will make assessment team have look at criteria carefully carefully. Data manipulation can occur because it difficult decisions with such large data without automated mining. As result, get ...

2007
Burak Turhan Ayse Basar Bener

Defect prediction is an important topic in software quality research. Statistical models for defect prediction can be built on project repositories. Project repositories store software metrics and defect information. This information is then matched with software modules. Naïve Bayes is a well known, simple statistical technique that assumes the ‘independence’ and ‘equal importance’ of features...

2009
Noah Lee Jesus Caban Shahram Ebadollahi Andrew Laine

Labeled training data in the medical domain is rare and expensive to obtain. The lack of labeled multimodal medical image data is a major obstacle for devising learning-based interactive segmentation tools. Transductive learning (TL) or semi-supervised learning (SSL) offers a workaround by leveraging unlabeled and labeled data to infer labels for the test set given a small portion of label info...

In today world of internet, it is important to feedback the users based on what they demand. Moreover, one of the important tasks in data mining is classification. Today, there are several classification techniques in order to solve the classification problems like Genetic Algorithm, Decision Tree, Bayesian and others. In this article, it is attempted to classify researchers to “Expert” and “No...

2016
Dong-Chul Park

An image classification scheme using Naïve Bayes Classifier is proposed in this paper. The proposed Naive Bayes Classifier-based image classifier can be considered as the maximum a posteriori decision rule. The Naïve Bayes Classifier can produce very accurate classification results with a minimum training time when compared to conventional supervised or unsupervised learning algorithms. Compreh...

2012
M. Swami Das Ramakanta Mohanty D. Vijayalakshmi A. Govardhan

In this paper, we employed Naïve Bayes, Augmented Naïve Bayes, Tree Augmented Naïve Bayes, Sons & Spouses, Markov Blanket, Augmented Markov Blanket, Semi Supervised and Bayesian network techniques to rank web services. The Bayesian Network is demonstrated on a dataset taken from literature. The dataset consists of 364 web services whose quality is described by 9 attributes. Here, the attributes...

2015
Gurinder Pal Singh Gosal

The word sense disambiguation (WSD) is the task ofautomatically selecting the correct sense given a context and it helps in solving many ambiguity problems inherently existing in all natural languages.Statistical Natural Language Processing (NLP),which is based on probabilistic, stochastic and statistical methods, has been used to solve many NLP problems.The Naive Bayes algorithm which is one o...

2017
P. Natesan Ming-Yang Su

Recently machine learning based intrusion detection system developments have been subjected to extensive researches because they can detect both misuse detection and anomaly detection. In this paper, we propose an AdaBoost based algorithm for network intrusion detection system with single weak classifier. In this algorithm, the classifiers such as Bayes Net, Naïve Bayes and Decision tree are us...

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