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
Published in:CAAI Transactions on Intelligence Technology Vol. 4; no. 4; pp. 203 - 213
Main Authors: Sakai, Hiroshi, Nakata, Michinori
Format: Journal Article
Language:English
Published: Beijing The Institution of Engineering and Technology 01.12.2019
John Wiley & Sons, Inc
Wiley
Subjects:
Algorithms
Approximation
Apriori algorithm
Apriori‐based rule generation
association rules
authors
C1160 Combinatorial mathematics
C6130 Data handling techniques
C6160 Database management systems (DBMS)
C6170K Knowledge engineering techniques
C7240 Information analysis and indexing
computational methodologies
Data analysis
Data mining
database management systems
Datasets
granular computing
incomplete information databases
information analysis
information incompleteness
Information management
Information systems
intelligent rule generator
knowledge acquisition
nondeterministic information systems
novel researches
outstanding researches
rough set theory
Rough sets Nondeterministic Information Analysis
rule generators
Semantics
Software
software tools
Special Issue: Rough Sets and Data Mining
table data sets
Apriori-based rule generation
table data sets
knowledge acquisition
data mining
computational methodologies
association rules
incomplete information databases
information analysis
database management systems
intelligent rule generator
outstanding researches
granular computing
nondeterministic information systems
Apriori algorithm
information incompleteness
rule generators
Rough sets Nondeterministic Information Analysis
software tools
information systems
rough set theory
novel researches
authors
ISSN:2468-2322, 2468-6557, 2468-2322
Online Access:Get full text
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Summary: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-deterministic Information Analysis (RNIA). They followed several novel types of research, especially Pawlak's rough sets, Lipski's incomplete information databases, Orłowska's non-deterministic information systems, Agrawal's Apriori algorithm. These are outstanding researches related to information incompleteness, data mining, and rule generation. They have been trying to combine such novel researches, and they have been trying to realise more intelligent rule generator handling data sets with information incompleteness. This study surveys the authors’ research highlights on rule generators, and considers a combination of them.
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ISSN:2468-2322
2468-6557
2468-2322
DOI:10.1049/trit.2019.0001