3 eBooks tagged "Handbook and Data"
Related tags:
of [+],
and [+],
Visualization [+],
The [+],
Structures [+],
Springer [+],
Mining [+],
with,
volume,
up,
to,
risk,
in,
he,
for,
Wound,
Wireless,
Web,
Vitamins,
Vascular,
Variation,
Variablelength,
Using,
Underground,
US,
Thumbs,
Third,
Systems,
System,
Streams,
Stationary,
Standard,
Series,
Semantic,
Security,
Secure,
Science,
Scalable,
SAP,
Rf,
Responsible,
Research,
R3,
Programming,
Processing,
Principles,
Presentation,
Practical,
Power,
Polymers,
Plants,
Physical,
Personal,
Perception,
Patterns,
Parametric,
Packaging,
PHP,
Oxford,
Oracle,
Online,
On,
OReilly,
Nutrition,
Nonparametric,
New,
Networks,
Network,
Multivariate,
Molecular,
Mobile,
Microsoft,
Methods,
Metalworking,
Medicinal,
Measurements,
Mathematical,
Marine,
Management,
MacHining,
Mac,
Learning,
Leadership,
Lattice,
Language,
Japanese,
International,
Infrastructures,
IPv6,
IPv4,
IP,
Grammar,
Goodmans,
GSM,
From,
Formulas,
Flexible,
Facilities,
Excel,
Essentials,
Essential,
Equations,
Engineering,
Embedded,
Electronics,
Electronic,
Edition,
Economics,
EDN,
Dukeu2019s,
Disease,
Differential,
Development,
Designing,
Demystified,
Database,
Danny,
Correspondence,
Corps,
Cookbook,
Controls,
Contemporary,
Compression,
Community,
Communications,
Cognitive,
Coding,
Codes,
Chemical,
Catholic,
Care,
Business,
Book,
Biomedical,
Biology,
Biological,
Biodegradable,
Beginners,
Automated,
Astronomy,
Architects,
Applications,
AppleScript,
Antenna,
Analysis,
Amateur,
Algorithms,
Administrators,
Access,
ASP.NET,
A,
3rd,
3ed
Posted: February 3rd, 2008, 7:17pm CET
Note: With 569 Figures and 50 Tables.
Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics. Specialists from all over the world have contributed papers on their areas of expertise.
Table of Contents
I. Data Visualization
I.1 Introduction
II. Principles
II.1 A Brief History of Data Visualization
II.2 Good Graphics?
II.3 Static Graphics
II.4 Data Visualization Through Their Graph Representations
II.5 Graph-theoretic Graphics
II.6 High-dimensional Data Visualization
II.7 Multivariate Data Glyphs: Principles and Practice
II.8 Linked Views for Visual Exploration
II.9 Linked Data Views
II.10 Visualizing Trees and Forests
III. Methodologies
III.1 Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data
III.2 Grand Tours, Projection Pursuit Guided Tours, and Manual Controls
III.3 Multidimension Read more...

Posted: February 4th, 2008, 7:22am CET by Ice Zero
Publisher: Chapman & Hall/CRC; 1 edition
Language: English
ISBN: 1584884355
Paperback: 1392 pages
Data: October 28, 2004
Format: PDF
Description: Although there are many advanced and specialized texts and handbooks on algorithms, until now there was no book that focused exclusively on the wide variety of data structures that have been reported in the literature. The Handbook of Data Structures and Applications responds to the needs of students, professionals, and researchers who need a mainstream reference on data structures by providing a comprehensive survey of data structures of various types. Divided into seven parts, the text begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. The Handbook is invaluable in suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.

Posted: February 27th, 2008, 8:01am CET by admin
Hardcover: 720 pages
Publisher: Lawrence Erlbaum; 1 edition (April 1, 2003)
Language: English
ISBN-10: 0805840818
ISBN-13: 978-0805840810
Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.
