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What is Incremental Learning

Chapter 17
Encyclopedia of Information Science and Technology, Fourth Edition
Incremental learning is a machine learning paradigm where the learning process takes place whenever new example(s) or new attribute(s) (attribute value(s)) merge or must be deleted from dataset and the solutions already obtained are only modified.
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 18
An Evolving System in the Text Classification Problem
This is a Machine Learning technique which training and learning steps is performed continuously over time and never ends.
Published in Chapter: An Evolving System in the Text Classification Problem; From: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
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Chapter 23
Learning from Unbalanced Stream Data in Non-Stationary Environments Using Logistic Regression Model: A Novel Approach Using Machine Learning for Assessment of Credit Card Frauds
Learning the data instances over the time period by preserving older ones and learning from new data. Here, the new data is learned instance wise and the older one is stored and preserved.
Published in Chapter: Learning from Unbalanced Stream Data in Non-Stationary Environments Using Logistic Regression Model: A Novel Approach Using Machine Learning for Assessment of Credit Card Frauds; From: Handbook of Research on Natural Computing for Optimization Problems
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Chapter 16
FOL Learning for Knowledge Discovery in Documents
a learning algorithm is incremental if it can process training examples that become available over time, usually one at a time, modifying the learned theory accordingly if necessary without restarting from scratch.
Published in Chapter: FOL Learning for Knowledge Discovery in Documents; From: Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
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