Introduction. The significance of the increased attention to in-depth study financial security (FS) banking system is caused by place and role in ensuring FS investment growth national economy, organization payment turnover stability monetary system, currency its purchasing power, targeting inflation state. Ensuring both Ukraine general individual components, based on their paramount importance...

a r t i c l e i n f o a b s t r a c t This paper presents a new method for differential diagnosis of erythemato-squamous diseases based on Genetic Algorithm (GA) wrapped Bayesian Network (BN) Feature Selection (FS). With this aim, a GA based FS algorithm combined in parallel with a BN classifier is proposed. Basically, erythemato-squamous dataset contains six dermatological diseases defined wit...

Feature selection (FS) techniques generally require repeatedly training and evaluating models to assess theimportance of each feature for a particular task. However, due the increasing size currently availabledatabases, distributed processing has become necessity many tasks. In this context, Apache SparkML library is one most widely used libraries performing classification other tasks with larg...

BACKGROUND DNA microarray gene expression classification poses a challenging task to the machine learning domain. Typically, the dimensionality of gene expression data sets could go from several thousands to over 10,000 genes. A potential solution to this issue is using feature selection to reduce the dimensionality. AIMS The aim of this paper is to investigate how we can use feature quality ...

abstract purpose of this paper: the objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (topsis) approach to evaluate the most suitable rfid-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. design/methodology/approach: resear...

This paper describes a new method for the classification of a HTML document into a hierarchy of categories. The hierarchy of categories is involved in all phases of automated document classification, namely feature extraction, learning, and classification of a new document. The innovative aspects of this work are the feature selection process, the automated threshold determination for classific...

College students are the group with most entrepreneurial vitality and potential. How to cultivate their innovative ability is one of important urgent issues facing this current social development. This paper proposes a reliable, intelligent prediction model intentions, providing theoretical support for guiding college students’ positive intentions. The mainly uses improved crow search algorithm...

Human activity recognition is important for many applications. This paper describes a human activity recognition framework based on feature selection techniques. The objective is to identify the most important features to recognize human activities. We first design a set of new features (called physical features) based on the physical parameters of human motion to augment the commonly used stat...

Human Activity Recognition (HAR) is aimed at identifying current subject task performed by a person as a result of analyzing data from wearable sensors. HAR is a very challenging task that has been applied in different areas such as rehabilitation, localization, etc. During the past ten years, plenty of models, number of sensors and sensor placements, and feature transformations have been repor...