| 000 -LEADER |
|---|
| fixed length control field |
01958cam a22001935a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
120810s2012 nyu 000 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781441902351 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.6 |
| Item number |
D9M8 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dzemyda, Gintautas |
| 9 (RLIN) |
280780 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Multidimensional data visualization: methods and applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York |
| Name of publisher, distributor, etc |
Springer |
| Date of publication, distribution, etc |
2013 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 250 p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Springer Optimization and Its Applications Vol. 75 |
| 9 (RLIN) |
280781 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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.<br/><br/>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.<br/><br/>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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Information visualization |
| 9 (RLIN) |
280784 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kurasova, Olga |
| 9 (RLIN) |
280782 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zilinskas, Julius |
| 9 (RLIN) |
280783 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |
