Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

In this survey, we review different text mining techniques to discover various textual patterns
from the social networking sites. Social network applications create opportunities to …

This work implements a new text document classifier by integrating the K-nearest neighbor
(KNN) classification approach with the support vector machine (SVM) training algorithm. The …

The explosive growth of text data requires effective methods to represent and classify these
texts. Many text learning methods have been proposed, like statistics-based methods …

The paper aims to develop the predictive models for dengue outbreak detection using
Multiple Rule Based Classifiers. The rule based classifiers used are the Decision Tree …

Document classification can be defined as the task of automatically categorizing collections
of electronic documents into their annotated classes, based on their contents. In recent years …

The developing utilization of web has advanced a simple and quick method for e-
correspondence. The outstanding case for this is e-mail. Presently days sending and …

Abstract K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) are the two
Supervised Machine Learning Algorithms which have been used extensively in solving …

A Linear Support Vector Machine (LSVM) is based on determining an optimum hyperplane
that separates the data into two classes with a maximum margin. LSVM typically has higher …

Pattern recognition is a crucial part of machine learning that has recently piqued scientists'
interest. The feature selection method utilized has an impact on the dataset's correctness …