Spectral Feature Selection For Data Mining

丛 书 名：Chapman & Hall/crc Data Mining And Knowledge Discovery Series

版本说明：1

作     者：Zheng Zhao and Huan Liu 

I S B N：(纸本) 9781439862094 

出 版 社：TaylorFrancis 

出 版 年：2011年

主 题 词：Computer Science Databases Data Preparation \u0026 Mining Reference 

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 081203[工学-计算机应用技术] 08[工学] 020201[经济学-国民经济学] 0835[工学-软件工程] 0714[理学-统计学（可授理学、经济学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

摘      要：Spectral feature selection is a state-of-the-art technique based on spectral graph theory. This book provides a comprehensive introduction to spectra, including its theoretical foundations, connections to existing feature selection and extraction algorithms, and its applications in solving novel real-world problems in feature selection. It covers general feature selection and feature extraction concepts, the most popular existing algorithms, and recent research developments. The text also includes precise definitions, a number of illustrative figures, and plenty of examples, along with slides, source code, and data on a supporting website.