Redundant and irrelevant features in datasets decrease classification accuracy, and
increase computational time of classification algorithms, overfitting problem and complexity …

Skin disease dataset has six classes characterized with redundant and noisy features
making classification very difficult due to similarities among the classes. To obtain relevant …

Consumer reviews show inconsistent ratings when compared to their contents as a result of
sarcastic feedback. Consequently, they cannot provide valuable feedback to improve …

Abstract Mission Dependency Index (MDI) is a metric developed to capture the relative
criticality of infrastructure assets with respect to organizational missions. The USAF adapted …

The high volume of extremist materials online makes manual classification impractical.
However, there is a need for automated classification techniques. One set of extremist web …

We present a three-step method for attribute selection that builds on person-independent
and person-specific feature assessment stages. The first two steps aim to select a person …

The erythemto-squamous (skin) disease is characterized by redundant and noisy features.
One of the biggest challenges in the artificial intelligence field has been finding relevant …

The ability to generate data has never been as powerful as today when three quintile bytes
of data are generated daily. In the field of machine learning, a large number of algorithms …

Acute Respiratory Infections usually attack the respiratory tract of toddlers, both the upper
and lower respiratory tracts, because the body's defense system against viruses that cause …

This paper presents the method of creating Expert system for decision support on the
Android platform. The system knowledge base for the given area of expertise is generated …