An Effective Pattern Pruning and Summarization Method Retaining High Quality Patterns With High Area Coverage in Relational Datasets
Pattern mining has been widely used to uncover interesting patterns from data. However, one of its main problems is that it produces too many patterns and many of them are redundant. To reduce the number of redundant patterns and retain overlapping ones, delta-closed pattern pruning was introduced,...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7742397/ |