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What is Good Classification Test

Chapter 17
Encyclopedia of Information Science and Technology, Fourth Edition
A classification test describing a given set of positive examples is good if this set of positive examples is maximal in the sense that if we add to it any positive example not belonging to it, then the collection of attributes’ values describing the obtained set will describe at least one negative example.
Published in Chapter:
Incremental Approach to Classification Learning
Xenia Alexandre Naidenova (Research Centre of Military Medical Academy – Saint Petersburg, Russia)
Copyright: © 2018 |Pages: 11
DOI: 10.4018/978-1-5225-2255-3.ch017
Abstract
An approach to incremental classification learning is proposed. Classification learning is based on approximation of a given partitioning of objects into disjoint blocks in multivalued space of attributes. Good approximation is defined in the form of good maximally redundant classification test or good formal concept. A concept of classification context is introduced. Four situations of incremental modification of classification context are considered: adding and deleting objects and adding and deleting values of attributes. Algorithms of changing good concepts in these incremental situations are given and proven.
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Chapter 65
Machine Learning as a Commonsense Reasoning Process
A classification test for a given set of positive examples is good if this set is maximal in the sense that if we add to it any positive example, then the collection of attributes’ values describing the obtained set will describe at least one negative example.
Published in Chapter: Machine Learning as a Commonsense Reasoning Process; From: Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
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Chapter 12
Classification Reasoning as a Basic Part of Machine Learning
A classification test describing a given set of positive examples is good if adding to it any positive example not belonging to it, implies that the set of attributes’ values describing the obtained set will describe at least one negative example.
Published in Chapter: Classification Reasoning as a Basic Part of Machine Learning; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 20
Adding Context into Classification Reasoning Based on Good Classification Tests
A set of attributes’ values distinguishes between a maximally possible number of objects of a given class and objects of alternative class (classes).
Published in Chapter: Adding Context into Classification Reasoning Based on Good Classification Tests; From: Handbook of Research on Innovative Database Query Processing Techniques
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