Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …

Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …

The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

Automated detection and classification of gastric infections (ie, ulcer, polyp, esophagitis, and
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …

This paper proposes hybrid feature selection approaches based on the Genetic Algorithm
(GA). This approach uses a hybrid search technique that combines the advantages of filter …

Feature selection plays a key role in reducing the dimensionality of a feature vector by
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …

Day by day the number of text documents in digital form is increasing. Text classification is
used to organize these text documents. However, text classification has the problem of high …

Feature selection problem in data mining is addressed here by proposing a bi-objective
genetic algorithm based feature selection method. Boundary region analysis of rough set …

This paper focus on a neural network classification model to estimate the association among
gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It …