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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Vydáno v:	CAAI Transactions on Intelligence Technology Ročník 4; číslo 4; s. 203 - 213
Hlavní autoři:	Sakai, Hiroshi, Nakata, Michinori
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Beijing The Institution of Engineering and Technology 01.12.2019 John Wiley & Sons, Inc Wiley
Témata:	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
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Popis
Shrnutí:	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.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	2468-2322 2468-6557 2468-2322
DOI:	10.1049/trit.2019.0001