Feature Extraction, Construction and Selection: A Data Mining Perspective: The Springer International Series in Engineering and Computer Science, cartea 453
Editat de Huan Liu, Hiroshi Motodaen Limba Engleză Paperback – 11 oct 2012
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Springer Us – 31 aug 1998 | 1257.12 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781461376224
ISBN-10: 146137622X
Pagini: 440
Ilustrații: XXIV, 410 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.61 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
ISBN-10: 146137622X
Pagini: 440
Ilustrații: XXIV, 410 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.61 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1 Less is More.- 2 Feature Weighting for Lazy Learning Algorithms.- 3 The Wrapper Approach.- 4 Data-driven Constructive Induction: Methodology and Applications.- 5 Selecting Features by Vertical Compactness of Data.- 6 Relevance Approach to Feature Subset Selection.- 7 Novel Methods for Feature Subset Selection with Respect to Problem Knowledge.- 8 Feature Subset Selection Using A Genetic Algorithm.- 9 A Relevancy Filter for Constructive Induction.- 10 Lexical Contextual Relations for the Unsupervised Discovery of Texts Features.- 11 Integrated Feature Extraction Using Adaptive Wavelets.- 12 Feature Extraction via Neural Networks.- 13 Using Lattice-based Framework as a Tool for Feature Extraction.- 14 Constructive Function Approximation.- 15 A Comparison of Constructing Different Types of New Feature for Decision Tree Learning.- 16 Constructive Induction: Covering Attribute Spectrum.- 17 Feature Construction Using Fragmentary Knowledge.- 18 Constructive Induction on Continuous Spaces.- 19 Evolutionary Feature Space Transformation.- 20 Feature Transformation by Function Decomposition.- 21 Constructive Induction of Cartesian Product Attributes.- 22 Towards Automatic Fractal Feature Extraction for Image Recognition.- 23 Feature Transformation Strategies for a Robot Learning Problem.- 24 Interactive Genetic Algorithm Based Feature Selection and Its Application to Marketing Data Analysis.