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Computational methods of feature selection /

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Liu, Huan, 1958-, Motoda, Hiroshi
Format: eBook
Language:English
Published: Boca Raton : Chapman and Hall/CRC, 2008.
Series:Chapman & Hall/CRC data mining and knowledge discovery series
Subjects:
Data mining.
Database management.
Machine learning.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • part 1 Part I: Introduction and Background
  • chapter 1 Less Is More / Huan Liu
  • chapter 2 Unsupervised Feature Selection / Jennifer G. Dy
  • chapter 3 Randomized Feature Selection / David J. Stracuzzi
  • chapter 4 Causal Feature Selection / Isabelle Guyon, Constantin Aliferis, and Andre´ Elisseeff
  • part 2 Part II: Extending Feature Selection
  • chapter 5 Active Learning of Feature Relevance / Emanuele Olivetti
  • chapter 6 A Study of Feature Extraction Techniques Based on Decision Border Estimate / Claudia Diamantini
  • chapter 7 Ensemble-Based Variable Selection Using Independent Probes
  • chapter 8 Efficient Incremental-Ranked Feature Selection in Massive Data / Roberto Ruiz, Jesu´s S. Aguilar-Ruiz, and Jose´ C. Riquelme
  • part 3 Part III: Weighting and Local Methods
  • chapter 9 Non-Myopic Feature Quality Evaluation with (R)ReliefF / Igor Kononenko
  • chapter 10 Weighting Method for Feature Selection in K-Means / Joshua Zhexue Huang
  • chapter 11 Local Feature Selection for Classification / Carlotta Domeniconi
  • chapter 12 Feature Weighting through Local Learning / Yijun Sun
  • part 4 Part IV: Text Classification and Clustering
  • chapter 13 Feature Selection for Text Classification / George Forman
  • chapter 14 A Bayesian Feature Selection Score Based on Na¨ıve Bayes Models / Susana Eyheramendy
  • chapter 15 Pairwise Constraints-Guided Dimensionality Reduction / Wei Tang
  • chapter 16 Aggressive Feature Selection by Feature Ranking / Masoud Makrehchi
  • part 5 Part V: Feature Selection in Bioinformatics
  • chapter 17 Feature Selection for Genomic Data Analysis / Lei Yu
  • chapter 18 A Feature Generation Algorithm with Applications to Bio- logical Sequence Classification / Rezarta Islamaj Dogan
  • chapter 19 An Ensemble Method for Identifying Robust Features for Biomarker Discovery / Diana Chan
  • chapter 20 Model Building and Feature Selection with Genomic Data / Hui Zou.