Data Mining Applications Using Artificial Adaptive Systems (Record no. 52025)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04033nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-1-4614-4223-3 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420220223.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120824s2013 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781461442233 |
| -- | 978-1-4614-4223-3 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | Data Mining Applications Using Artificial Adaptive Systems |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | VII, 275 p. 135 illus., 111 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Assessing Post-Radiotherapy Treatment involving Brain Volume Differences in Children -- J-Net: an Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization -- Population Algorithm: A New Method of Multi-Dimensional Scaling -- Semantics of Point Spaces through the Topological Weighted Centroid and Other Mathematical Quantities -- Meta Net: A New Meta-Classifier Family -- Optimal Informational Sorting: The ACS-ULA Approach -- GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning -- Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This volume directly addresses the complexities involved in data mining and the development of new algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and analysis, while including analytical projection and prediction. The results derived from the analysis are then further manipulated such that a visual representation is derived with an accompanying analysis. The book brings very current methods of analysis to the forefront of the discipline, provides researchers and practitioners the mathematical underpinning of the algorithms, and the non-specialist with a visual representation such that a valid understanding of the meaning of the adaptive system can be attained with careful attention to the visual representation. The book presents, as a collection of documents, sophisticated and meaningful methods that can be immediately understood and applied to various other disciplines of research. The content is composed of chapters addressing: An application of adaptive systems methodology in the field of post-radiation treatment involving brain volume differences in children; A new adaptive system for computer-aided diagnosis of the characterization of lung nodules; A new method of multi-dimensional scaling with minimal loss of information; A description of the semantics of point spaces with an application on the analysis of terrorist attacks in Afghanistan; The description of a new family of meta-classifiers; A new method of optimal informational sorting; A general method for the unsupervised adaptive classification for learning; and the presentation of two new theories, one in target diffusion and the other in twisting theory. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Tastle, William J. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4614-4223-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | New York, NY : |
| -- | Springer New York : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data structures (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biometrics (Biology). |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Structures. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biometrics. |
| 912 ## - | |
| -- | ZDB-2-SCS |
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