Cover Image

Data Mining Applications Using Artificial Adaptive Systems

none

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tastle, William J. (Editor)
Format: Electronic
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Subjects:
Computer science.
Data structures (Computer science).
Data mining.
Artificial intelligence.
Biometrics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Data Structures.
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4223-3
LEADER 02311nam a22005055i 4500
001 13006
003 DE-He213
005 20130727030812.0
007 cr nn 008mamaa
008 120824s2013 xxu| s |||| 0|eng d
020 # # |a 9781461442233  |9 978-1-4614-4223-3 
024 7 # |a 10.1007/978-1-4614-4223-3  |2 doi 
050 # 4 |a Q334-342 
050 # 4 |a TJ210.2-211.495 
072 # 7 |a UYQ  |2 bicssc 
072 # 7 |a TJFM1  |2 bicssc 
072 # 7 |a COM004000  |2 bisacsh 
082 0 4 |a 006.3  |2 23 
100 1 # |a Tastle, William J.  |e editor. 
245 1 0 |a Data Mining Applications Using Artificial Adaptive Systems  |c edited by William J. Tastle.  |h [electronic resource] / 
264 # 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2013. 
300 # # |a VII, 275 p. 135 illus., 111 illus. in color.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
505 0 # |a 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 # # |a none 
650 # 0 |a Computer science. 
650 # 0 |a Data structures (Computer science). 
650 # 0 |a Data mining. 
650 # 0 |a Artificial intelligence. 
650 # 0 |a Biometrics. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Data Structures. 
650 2 4 |a Biometrics. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781461442226 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4223-3 
912 # # |a ZDB-2-SCS 
950 # # |a Computer Science (Springer-11645) 

Similar Items