Multi-granularity rule learning

Han Liu*, Mihaela Cocea

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

In this chapter, we introduce concepts of rule learning and review existing methods for identifying their limitations. Based on the review, we present a proposed multi-granularity framework of rule learning, towards advancing the learning performance and improving the quality of each single rule learned. Furthermore, we discuss the advantages of multi-granularity rule learning, in comparison with traditional rule learning.

Original languageEnglish
Title of host publicationGranular Computing Based Machine Learning
Subtitle of host publicationA Big Data Processing Approach
EditorsHan Liu, Mihaela Cocea
PublisherSpringer Nature
Pages67-76
Number of pages10
ISBN (Electronic)9783319700588
ISBN (Print)9783319700571, 9783319888842
DOIs
Publication statusPublished - 23 Nov 2017

Publication series

NameStudies in Big Data
Volume35
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

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