Affiliation:
1. Research Centre of Military Medical Academy – Saint Petersburg, Russia
Abstract
An approach to incremental classification learning is proposed. Classification learning is based on approximation of a given partitioning of objects into disjointed 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.
Reference32 articles.
1. Asha, P., Jebara, T., & Saranya, G. (2014). A Survey on efficient incremental algorithm for mining high utility itemsets in distributive and dynamic database. International Journal of Emerging Technology and Advanced Engineering, 4(1), 146-149.
2. Concept Data Analysis
3. A population-based incremental learning approach with artificial immune system for network intrusion detection
4. Multi-label incremental learning applied to web page categorization