Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series) - Info and Reading Options
By Liu, Huan
"Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)" is published by Chapman & Hall/CRC in October 29, 2007 - Boca Raton, it has 440 pages and the language of the book is English.
“Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)” Metadata:
- Title: ➤ Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
- Author: Liu, Huan
- Language: English
- Number of Pages: 440
- Publisher: Chapman & Hall/CRC
- Publish Date: October 29, 2007
- Publish Location: Boca Raton
“Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)” Subjects and Themes:
- Subjects: ➤ Database management - Data mining - Machine learning - Organization - Artificial intelligence - Data Mining - Databases as Topic - Organization and Administration - Artificial Intelligence - Bases de données - Gestion - Exploration de données (Informatique) - Apprentissage automatique - Organisation - Intelligence artificielle - COMPUTERS - Desktop Applications - Databases - Database Management - General - System Administration - Storage & Retrieval
Edition Specifications:
- Format: Hardcover
- Weight: 1.6 pounds
- Dimensions: 9.3 x 6.3 x 1.2 inches
Edition Identifiers:
- The Open Library ID: OL12313852M - OL18724600W
- Online Computer Library Center (OCLC) ID: 213442382 - 154309055
- Library of Congress Control Number (LCCN): 2007027465
- ISBN-13: 9781584888789
- ISBN-10: 1584888784
- All ISBNs: 1584888784 - 9781584888789
AI-generated Review of “Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)”:
"Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)" Description:
Open Data:
Highlighting research issues, this volume introduces the basic concepts and principles, algorithms, and inventive applications of feature selection. With surveys, practical guidance, and comprehensive tutorials from leading experts, it chronicles the novel developments of feature selection, including causal feature selection and Relief
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