Rough set-based rule generation and Apriori-based rule generation from table data sets: a survey and a combination

Rough set-based rule generation and Apriori-based rule generation from table data sets: a survey and a combination

The authors have been coping with new computational methodologies such as rough sets, information incompleteness, data mining, granular computing, etc., and developed some software tools on association rules as well as new mathematical frameworks. They simply term this research Rough sets Non-determ...

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Bibliographic Details
Main Authors: Hiroshi Sakai, Michinori Nakata
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
knowledge acquisition
information analysis
software tools
rough set theory
database management systems
data mining
information systems
rule generators
apriori-based rule generation
table data sets
computational methodologies
information incompleteness
granular computing
association rules
rough sets nondeterministic information analysis
incomplete information databases
nondeterministic information systems
apriori algorithm
outstanding researches
novel researches
intelligent rule generator
authors
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0001

Internet

https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0001

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