Abstract Machine Learning (ML) techniques are becoming an invaluable support for network
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …

Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

High-dimensional data analysis is a challenge for researchers and engineers in the fields of
machine learning and data mining. Feature selection provides an effective way to solve this …

Feature selection is a significant task in data mining and machine learning applications
which eliminates irrelevant and redundant features and improves learning performance. In …

Feature selection is an important task for data analysis and information retrieval processing,
pattern classification systems, and data mining applications. It reduces the number of …

While huge volumes of unlabeled data are generated and made available in many domains,
the demand for automated understanding of visual data is higher than ever before. Most …

Feature selection is an important preprocessing step in machine learning and pattern
recognition. The ultimate goal of feature selection is to select a feature subset from the …

Introduction Page 8 Rita Schlusemann, Helwi Blom, Anna Katharina Richter, and Krystyna
Wierzbicka-Trwoga Introduction Wil man och säija sin Meening och Skääl med fåå Ordh/ som …

In the recent years, there are massive digital images collections in many fields of our life,
which led the technology to find methods to search and retrieve these images efficiently. The …

This paper presents a novel approach to visual objects classification based on generating
simple fuzzy classifiers using local image features to distinguish between one known class …