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  • Computation Trees: A Generalization of Decision Trees

    Computation Trees by Moshkov, Mikhail;

    A Generalization of Decision Trees

    Series: Intelligent Systems Reference Library; 275;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 160.49
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        66 563 Ft (63 393 Ft + 5% VAT)
      • Discount 20% (cc. 13 313 Ft off)
      • Discounted price 53 250 Ft (50 714 Ft + 5% VAT)

    66 563 Ft

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    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    This book is devoted to the study of deterministic and nondeterministic computation trees. Computation trees are a natural generalization of decision trees: in addition to the one-place predicate-type operations (attributes) used in decision trees, computation trees can use multi-place predicate and function operations. They arise both where we deal with algorithms for solving problems of combinatorial optimization, computational geometry, etc., and where we solve classification or prediction problems, especially if we use combinations of input variables as attributes. This book mainly studies the complexity of computation trees and also examines related optimization problems. The results discussed in this book may be useful to researchers studying algorithms and using algorithm models similar to computation trees. These results may also be useful to researchers working with decision trees and decision rule systems in data analysis, particularly, in rough set theory, logical analysis of data, and test theory. The book is also used to create graduate courses.

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    Table of Contents:

    Introduction.- Computation Trees Over Predicate Structures. Local Approach.- Computation Trees Over Predicate Structures. Global Approach.- Rough Analysis of Computation Trees.- Algorithmic Problems for Computation Trees.- Programs Versus Finite Tree-Programs.

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