Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...

Abstract: Now a day's sentiment analysis is the most used research topic. The sentiment analysis result is based on different investigation for example politics, terrorism, economy, international ...

Naive Bayes is a probabilistic machine learning algorithm that can be used to solve a wide range of classification problems. Typical applications include spam filtering, document classification, ...

Abstract: Naive Bayes is one of the most well-known data mining algorithms for classification. Naive Bayes is a simple and effective learning theory that does not need various parameters. However, ...

GREP is a command-line utility for searching plain-text data sets for lines that match a regular expression or simply a string. In this, I implemented GREP using Naive Search.

In recent times among the multitude of attacks present in network system, DDoS attacks have emerged to be the attacks with the most devastating effects. The main objective of this paper is to propose ...