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003 DE-He213
005 20200420220223.0
007 cr nn 008mamaa
008 120824s2013 xxu| s |||| 0|eng d
020 _a9781461442233
_9978-1-4614-4223-3
024 7 _a10.1007/978-1-4614-4223-3
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aData Mining Applications Using Artificial Adaptive Systems
_h[electronic resource] /
_cedited by William J. Tastle.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aVII, 275 p. 135 illus., 111 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAssessing 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 _aThis 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.
650 0 _aComputer science.
650 0 _aData structures (Computer science).
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aBiometrics (Biology).
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aData Structures.
650 2 4 _aBiometrics.
700 1 _aTastle, William J.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461442226
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-4223-3
912 _aZDB-2-SCS
942 _cEBK
999 _c52025
_d52025