Feature Extraction, Construction and Selection A Data Mining Perspective

Feature Extraction, Construction and Selection A Data Mining Perspective / edited by Huan Liu, Hiroshi Motoda.

There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contrib...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Huan Liu (Editor), Motoda, Hiroshi (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1998.
Edition:1st ed. 1998.
Series:The Springer International Series in Engineering and Computer Science, 453
Springer eBook Collection.
Subjects:
Data structures (Computer science).
Statistics .
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

Similar Items