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Data Mining and Data Visualization

Data Mining and Data Visualization de

Éditeur :

North Holland


Paru le : 2005-05-02

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Description
Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. - Distinguished contributors who are international experts in aspects of data mining - Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data - Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data - Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions - Thorough discussion of data visualization issues blending statistical, human factors, and computational insights
Pages
800 pages
Collection
n.c
Parution
2005-05-02
Marque
North Holland
EAN papier
9780444511416
EAN PDF
9780080459400
Informations sur l'ebook
Nombre pages copiables
80
Nombre pages imprimables
80
Taille du fichier
20726 Ko
Prix
242,65 €
EAN EPUB SANS DRM
9780080459400
Informations sur l'ebook
Prix
242,65 €

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