KTDA: emerging patterns based data analysis system
Abstract
Emerging patterns are kind of relationships discovered in databases containing a decision attribute. They represent contrast characteristics of individual decision classes. This form of knowledge can be useful for experts and has been successfully employed in a field of classification. In this paper we present the KTDA system. It enables discovering emerging patterns and applies them to classification purposes. The system has capabilities of identifying improper data by making use of data credibility analysis, a new approach to assessment data typicality.
Full Text:
PDFDOI: http://dx.doi.org/10.17951/ai.2006.4.1.279-290
Date of publication: 2006-01-01 00:00:00
Date of submission: 2016-04-27 10:15:10
Statistics
Total abstract view - 403
Downloads (from 2020-06-17) - PDF - 0
Indicators
Refbacks
- There are currently no refbacks.
Copyright (c) 2015 Annales UMCS Sectio AI Informatica
This work is licensed under a Creative Commons Attribution 4.0 International License.