Featured Application The paper analyzes the usage and mechanisms of feature selection
methods that are based on swarm intelligence in different application areas. Abstract The …

Accurate stock market prediction is of great interest to investors; however, stock markets are
driven by volatile factors such as microblogs and news that make it hard to predict stock …

Feature selection is known as a good solution to the high dimensionality of the feature space
and mostly preferred feature selection methods for text classification are filter-based ones. In …

Feature selection is the basic pre-processing task of eliminating irrelevant or redundant
features through investigating complicated interactions among features in a feature set. Due …

Web page classification is an important research direction on web mining. The abundant
amount of data available on the web makes it essential to develop efficient and robust …

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 …

Context Numerous software design patterns have been introduced and cataloged either as
a canonical or a variant solution to solve a design problem. The existing automatic …

In sentiment analysis, the high dimensionality of the feature vector is a key problem because
it can decrease the accuracy of sentiment classification and make it difficult to obtain the …

1. Background With the immense growth of online information due to Internet, text-
categorization has become a very significant technology to classify a large number of …

Abstract Though, Unified Modeling Language (UML), Ontology, and Text categorization
approaches have been used to automate the classification and selection of design pattern …