Automated classification of text into predefined categories has always been considered as a
vital method to manage and process a vast amount of documents in digital forms that are …

Automatic document sorting becomes increasingly important as handling and organizing
documents manually is a time consuming and not a viable solution on given the number of …

In the present study k-Nearest Neighbor classification method, have been studied for
economic forecasting. Due to the effects of companies' financial distress on stakeholders …

With the spectacular growth of air traffic demand expected over the next two decades, the
safety of the air transportation system is of increasing concern. In this paper, we facilitate the …

This study aims to use computational linguistics, visual analytics, and deep learning
techniques to analyze hotel reviews and responses collected on TripAdvisor and to identify …

In machine learning, hyperparameter tuning is the problem of choosing a set of optimal
hyperparameters for a learning algorithm. Several approaches have been widely adopted …

Data Mining in Agriculture represents a comprehensive effort to provide graduate students
and researchers with an analytical text on data mining techniques applied to agriculture and …

Feature selection and feature extraction have always been of utmost importance owing to
their capability to remove redundant and irrelevant features, reduce the vector space size …

The vulnerabilities in the Communication (TCP/IP) protocol stack and the availability of more
sophisticated attack tools breed in more and more network hackers to attack the network …

K-nearest neighbor classification algorithm is one of the most basic algorithms in machine
learning, which determines the sample's category by the similarity between samples. In this …