Bayesian (also called Belief) Networks (BN) are a powerful knowledge representation and reasoning mechanism. BN represent events and causal relationships between them as conditional probabilities involving random variables. Given the values of a subset of these variables (evidence variables) BN can compute the probabilities of another subset of variables (query variables). BN can be created aut...

A Bayesian network (or a belief network) is a probabilistic graphical model that represents a set of variables and their probabilistic independencies. Some researches often involve continuous random variables. In order to apply these continuous variables to BN models, these variables should convert into discrete variables with limited states, often two. During the discretization process, one pr...

Hijab Fashion Small and Medium-Sized Enterprises (SMEs) need to develop competitive advantages brands as a source of SME competitiveness. However, most SMEs experience limitations in developing the their brands. This research was conducted find out understand Karleen competitors object study. The method used is sentiment analysis using Naïve Bayes algorithm. Sentiment carried online review data...

COVID-19 is a global pandemic that requires coordinated response in all healthcare and national systems. Identifying patients at high risk of contracting the virus crucial to increasing awareness before become further infected by virus, which can cause severe respiratory illnesses requiring specialized care intensive units (ICUs). This study aims predict need for ICUs with virus. The predicted ...

Parkinson's disease (PD) has broadly been associated with mild cognitive impairment (PDMCI) and dementia (PDD). Researchers have studied surrogate, neuroanatomic biomarkers provided by magnetic resonance imaging (MRI) that may help in the early diagnosis of this condition. In this article, four classification models (naïve Bayes, multivariate filter-based naïve Bayes, filter selective naïve Bay...

Here we propose a probabilistic model for determining link formation, using Naïve Bayes Classifier on nontopological attribute values of nodes, in a social network. The proposed model gives a score which helps to determine the relationship strength in a non-formed link. In addition to Naïve Bayes Classifier, weighted Average of the Attribute value match helps to determine the friendship score o...

Cancer is a disease caused by uncontrollable cell growth. The constant subject of concern due to unavailability treatment at severe level. Patients who have suffered from the chance getting saved if this fatal illness identified in beginning stage. survival will be very low it detected final stage cancer. As patients could not survive their last stage, cure disease, an early diagnosis key issue...