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portada Decision Trees with Hypotheses
Type
Physical Book
Author
Publisher
Language
English
Pages
145
Format
Paperback
Dimensions
24.4 x 17.0 x 0.9 cm
Weight
0.26 kg.
ISBN13
9783031085871
Categories

Decision Trees with Hypotheses

Shahid Hussain (Author) · Mohammad Azad (Author) · Igor Chikalov (Author) · Springer · Paperback

Decision Trees with Hypotheses - Azad, Mohammad ; Chikalov, Igor ; Hussain, Shahid

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Synopsis "Decision Trees with Hypotheses"

In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses.

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