cardiovascular diseases are one of the most common diseases that cause a large number of deaths each year. coronary artery disease (cad) is the most common type of these diseases worldwide and is the main reason of heart attacks. thus early diagnosis of cad is very essential and is an important field of medical studies. many methods are used to diagnose cad so far. these methods reduce cost and...

Agriculture is that the backbone of India and it plays important role in economy.It Is source production for about 58 per cent India’s population step with government day’s estimates, States’s food was 291.95 MT 2019-20; 2020-21, govt. had set target up to 298.3 MT, which two more from previous year’s output.Food must double by 2050 match country’s income growth. small marginal farmers, therefo...

Naive Bayes is a probability-based classification method which is based on the assumption that attributes are conditionally mutually independent given the class label. Much research has been focused on improving the accuracy of Naïve Bayes via eager learning. In this paper, we propose a novel lazy learning algorithm, Selective Neighbourhood based Naïve Bayes (SNNB). SNNB computes different dist...

The Naïve Bayes document classifier has been used in many document classification algorithms [1], but is only really useful on a small subset of documents due to it’s many shortcomings [2]. By augmenting the basic functionality of the simple Naïve Bayes classifier, the classification algorithm can be applied to a much wider range of documents. This paper investigates the advantages which can be...

This paper introduces an algorithm that combines naïve Bayes classification with feature weighting. Most of the related approaches to feature transformation for naïve Bayes suggest various heuristics and non-exhaustive search strategies for selecting a subset of features with which naïve Bayes performs better than with the complete set of features. In contrast, the algorithm introduced in this ...

Document classification aims to assign a document to one or more categories based on its contents. This paper suggests the use of Field association (FA) words algorithm with Naïve Bayes Classifier to the problem of document categorization of Arabic language Our experimental study shows that using FA algorithm with Naïve Bayes (NB) Classifier gives the ~ 79% average accuracy and, using compound ...