The pandemic has created a trend where most people have become addicted to the social media express thoughts, opinions, share reviews and also their daily life online. This contributed increasing volume of data over platforms. Based on these situations, been analyzed for benefits businesses organizations. Various sentiment analysis research conducted obtain public opinions such as products situ...

Partially specified data are commonplace in many practical applications of machine learning where different instances are described at different levels of precision relative to an attribute value taxonomy (AVT). This paper describes AVT-NBL – a variant of the Naïve Bayes Learning algorithm that effectively exploits user-supplied attribute value taxonomies to construct compact and accurate Naïve...

This paper introduces a new Bayesian network structure, named a Partial Bayesian Network (PBN), and describes an algorithm for constructing it. The PBN is designed to be used for classification tasks, and accordingly the algorithm constructs an approximate Markov blanket around a classification node. Initial experiments have compared the performance of the PBN algorithm with Naïve Bayes, Tree-A...

Classification is an important data mining technique with broad applications. It classifies data of various kinds. Classification is used in every field of our life. Classification is used to classify each item in a set of data into one of predefined set of classes or groups. This paper has been carried out to make a performance evaluation of Naïve Bayes and j48 classification algorithm. Naive ...

In a content based image classification system, target images are sorted by feature similarities with respect to the query (CBIR). In this paper, we propose to use new approach combining distance tangent, k-means algorithm and Bayesian network for image classification. First, we use the technique of tangent distance to calculate several tangent spaces representing the same image. The objective ...

The stock market is one of the key sectors a country’s economy. It provides investors with an opportunity to invest and gain returns on their investment. Predicting very challenging task has attracted serious interest from researchers many fields such as statistics, artificial intelligence, economics, finance. An accurate prediction reduces investment risk in market. Different approaches have b...

Industrial resolutions that are increasingly developing make many transitions in all fields. The increasing use of fuel for vehicles makes Indonesia's stocks run low. Electric one type vehicle uses electricity. presence electric is expected to be a solution save oil. Another advantage produce low emissions so apart from irritating stocks, air pollution will also reduced. However, the still pro ...