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What is The Subtask of the Second Kind

Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
For a given set of positive and negative examples and a non-empty collection of attributes’ values such that it is not a test for the set of positive examples, find all GMRTs (GIRTs) containing it.
Published in Chapter:
Machine Learning as a Commonsense Reasoning Process
Xenia Naidenova (Military Medical Academy, Russia)
DOI: 10.4018/978-1-60566-242-8.ch065
Abstract
One of the most important tasks in database technology is to combine the following activities: data mining or inferring knowledge from data and query processing or reasoning on acquired knowledge. The solution of this task requires a logical language with unified syntax and semantics for integrating deductive (using knowledge) and inductive (acquiring knowledge) reasoning. In this paper, we propose a unified model of commonsense reasoning. We also demonstrate that a large class of inductive machine learning (ML) algorithms can be transformed into the commonsense reasoning processes based on wellknown deduction and induction logical rules. The concept of a good classification (diagnostic) test (Naidenova & Polegaeva, 1986) is the basis of our approach to combining deductive and inductive reasoning.
Full Text Chapter Download: US $37.50 Add to Cart
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Incremental Approach to Classification Learning
For a given set of positive and negative examples and a non-empty collection of attributes’ values such that it does not correspond to a test for the set of positive examples, find all GMRTs (GIRTs) containing it.
Full Text Chapter Download: US $37.50 Add to Cart
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