With the integration of mobile devices into daily life, smartphones are privy to increasing
amounts of sensitive information. Sophisticated mobile malware, particularly Android …

Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and
plays a crucial role in electric capacity scheduling and power systems management and …

The design and development of a computer-based system for breast cancer detection are
largely reliant on feature selection techniques. These techniques are used to reduce the …

Abstract The Dragonfly Algorithm (DA) is a recently proposed heuristic search algorithm that
was shown to have excellent performance for numerous optimization problems. In this …

Feature selection is an imperative preprocessing step that can positively affect the
performance of machine learning techniques. Searching for the optimal feature subset …

Feature selection is a challenging problem in areas such as pattern recognition, machine
learning and data mining. Considering a consistency measure introduced in rough set …

High dimensionality problem is an important concern for short text classification due to its
effect on computational cost and accuracy of classifiers. Also, short text data, besides being …

The widespread use of mobile devices in comparison to personal computers has led to a
new era of information exchange. The purchase trends of personal computers have started …

Feature selection (FS) can be defined as the problem of finding the minimal number of
features from an original set with the minimum information loss. Since FS problems are …

Breast cancer is one of the most common and deadly cancer for women. Early diagnosis
and treatment of breast cancer can enhance the outcome of the patients. The development …