Andere Kunden interessierten sich auch für
![An Efficient Advanced SQL¿to-MapReduce Translator to Improve Big Data]( "An Efficient Advanced SQL¿to-MapReduce Translator to Improve Big Data")
An Efficient Advanced SQL¿to-MapReduce Translator to Improve Big Data32,99 €![Advanced data association techniques in multi-target tracking system]( "Advanced data association techniques in multi-target tracking system")
Advanced data association techniques in multi-target tracking system51,99 €![The Hybrid Algorithm for Data Collection over a Tree Topology in WSN]( "The Hybrid Algorithm for Data Collection over a Tree Topology in WSN")
The Hybrid Algorithm for Data Collection over a Tree Topology in WSN36,99 €![Steganography: intended for Furtive Data Transmission over a Channel]( "Steganography: intended for Furtive Data Transmission over a Channel")
Steganography: intended for Furtive Data Transmission over a Channel32,99 €![Low Rate Hiding in Audio Data Using Phase Domain]( "Low Rate Hiding in Audio Data Using Phase Domain")
Low Rate Hiding in Audio Data Using Phase Domain36,99 €![A Different Approach to Analyse Data in Road Safety]( "A Different Approach to Analyse Data in Road Safety")
A Different Approach to Analyse Data in Road Safety51,99 €![Clustering Categorical data]( "Clustering Categorical data")
Clustering Categorical data32,99 €
Electroencephalography (EEG) is an approach widely used by psychologists, neuroscientists, and clinicians in order to study the neural behavior of the brain. The study of EEG data has been always challenging due to its data characters, high-dimensional and time-dependent. This book proposes a novel way to visualize the EEG data, which presents the spatial information and multiple time steps together in a 3D space to help experts in different domains explore the EEG data in a more natural way. This new and advanced visualization technique makes data analysis easier, less error prone and less reliant on the skill of the experts. Our methods are beneficial to the experts as it is now easier to understand and discover patterns from the collected data.