Novelty detection is the task of classifying test data that differ in some respect from the data
that are available during training. This may be seen as “one-class classification”, in which a …

A smart home is an application of ubiquitous computing in which the home environment is
monitored by ambient intelligence to provide context-aware services and facilitate remote …

The technological landscape of intelligent transport systems (ITS) has been radically
transformed by the emergence of the big data streams generated by the Internet of Things …

Mixed data comprises both numeric and categorical features, and mixed datasets occur
frequently in many domains, such as health, finance, and marketing. Clustering is often …

Nowadays, with the advance of technology, many applications generate huge amounts of
data streams at very high speed. Examples include network traffic, web click streams, video …

In response to the exponentially increasing need to analyze vast amounts of data, Neural
Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern …

The present article provides a survey of the available literature on data mining using soft
computing. A categorization has been provided based on the different soft computing tools …

The self-organizing map (SOM) is a very popular unsupervised neural-network model for the
analysis of high-dimensional input data as in data mining applications. However, at least two …

This paper describes a focused literature survey of self-organizing maps (SOM) in support of
intrusion detection. Specifically, the SOM architecture can be divided into two categories, ie …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …