INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781441902368
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-52486
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Multidimensional Data Visualizatio
General Material Designation
[Book]
Other Title Information
:Methods and Applications
First Statement of Responsibility
/ by Gintautas Dzemyda, Olga Kurasova, Julius ?╜ilinskas
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY
Name of Publisher, Distributor, etc.
: Springer New York :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2013.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
XII, 250 p. 122 illus., 38 illus. in color., online resource.
SERIES
Series Title
(Springer Optimization and Its Applications,1931-6828
Volume Designation
; 75)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
CONTENTS NOTE
Text of Note
The goal of this book is to present a variety of methods used in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks, combinations of algorithms, parallel computing, different proximity measures, nonlinear manifold learning, and more. Many of the applications presented allow us to discover the obvious advantages of visual data mining-it is much easier for a decision maker to detect or extract useful information from graphical representation of data than from raw numbers. The fundamental idea of visualization is to provide data in some visual form that lets humans understand them, gain insight into the data, draw conclusions, and directly influence the process of decision making. Visual data mining is a field where human participation is integrated in the data analysis process; it covers data visualization and graphical presentation of information. Multidimensional Data Visualization is intended for scientists and researchers in any field of study where complex and multidimensional data must be visually represented. It may also serve as a useful research supplement for PhD students in operations research, computer science, various fields of engineering, as well as natural and social sciences.
Text of Note
Preface -- 1.Multidimensional Data and the Concept of Visualization -- 2. Strategies for Multidimensional Data Visualization -- 3. Optimization-Based Visualization -- 4. Combining Multidimensional Scaling with Artificial Neural Networks -- 5. Applications of Visualizations -- A. Test Data Sets -- References -- Index.?╗╣
SERIES
Title
Springer Optimization and Its Applications,1931-6828
Volume Number
75
TOPICAL NAME USED AS SUBJECT
Mathematics
Artificial intelligence
Computer simulation
Visualization
Mathematical optimization
Electronic books
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Dzemyda, Gintautas.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Kurasova, Olga
?╜ilinskas, Julius
SpringerLink (Online service)
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9781441902351.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9781441902351.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
