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Computational Methods of Feature Selection (English, Huan Liu | Hiroshi Motoda)
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Specifications
| Publisher | Chapman and Hall/CRC |
| Language | English |
| ISBN-13 | 9781584888789 |
| ISBN-10 | 1584888784 |
| Author | Huan Liu | Hiroshi Motoda |
Product Description
About the Book
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the basic concepts and principles, state-of-the-art algorithms, and novel applications of this tool. The book…
ISBN: 9781584888789
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Computational Methods of Feature Selection
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Chapman and Hall/CRC
Who Should Read This
Students and professionals interested in Chapman and Hall/CRC, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is Computational Methods of Feature Selection available in English?
Computational Methods of Feature Selection is available in English on GlowMirror.
Who is the author of Computational Methods of Feature Selection?
Computational Methods of Feature Selection is authored by Huan Liu | Hiroshi Motoda.
Who published Computational Methods of Feature Selection?
Computational Methods of Feature Selection is published by Chapman and Hall/CRC.
How many pages does Computational Methods of Feature Selection have?
Page count information for Computational Methods of Feature Selection is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Computational Methods of Feature Selection takes a few hours to a few days depending on reading pace.
What is Computational Methods of Feature Selection about?
About the Book
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issue...
Is Computational Methods of Feature Selection suitable for beginners?
Whether Computational Methods of Feature Selection is suitable for beginners depends on your background in Chapman and Hall/CRC. Review the product description and specifications above for details on the target audience and difficulty level.
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