Data Mining and Data Visualization

Data Mining and Data Visualization

Author:

Publisher: Elsevier

ISBN: 0080459404

Category: Mathematics

Page: 800

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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

Data Mining and Data Visualization
Language: en
Pages: 800
Authors:
Categories: Mathematics
Type: BOOK - Published: 2005-05-02 - Publisher: Elsevier

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,
Homeland Security Technology Challenges
Language: en
Pages: 314
Authors: Giorgio Franceschetti, Marina Grossi
Categories: Computers
Type: BOOK - Published: 2008 - Publisher: Artech House

This practical book offers you expert guidance on sensors and the preprocessing of sensed data, the handling of sensed data with secure and safe procedures, and the design, modeling and simulation of complex HS systems. You learn how to store, encrypt and mine sensitive data. Further, the book shows how
Sample Surveys: Inference and Analysis
Language: en
Pages: 666
Authors: Giorgio Franceschetti, Marina Grossi
Categories: Mathematics
Type: BOOK - Published: 2009-09-02 - Publisher: Morgan Kaufmann

Handbook of Statistics_29B contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided
Sample Surveys: Design, Methods and Applications
Language: en
Pages: 722
Authors: Giorgio Franceschetti, Marina Grossi
Categories: Mathematics
Type: BOOK - Published: 2009-08-31 - Publisher: Elsevier

This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided
Bioinformatics in Human Health and Heredity
Language: en
Pages: 560
Authors: Ranajit Chakraborty, Calyampudi Radhakrishna Rao, Pranab Kumar Sen
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: Newnes

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and