How Long to Read Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

How Long Does it Take to Read Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications?

It takes the average reader 4 hours and 1 minute to read Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza

Assuming a reading speed of 250 words per minute. Learn more

Description

This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book. This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.

How long is Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications?

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza is 236 pages long, and a total of 60,416 words.

This makes it 80% the length of the average book. It also has 74% more words than the average book.

How Long Does it Take to Read Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 30 minutes to read Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications aloud.

What Reading Level is Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications?

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications?

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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