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Attribute-Oriented Induction based Data Generalization for Relational Databases

http://hdl.handle.net/20.500.12678/0000004942
2fc825d9-dac1-4cae-9c4a-e805077e3bee
cb27e3f2-445c-433b-b5e9-9600e787e2f3
None
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psc2010paper psc2010paper (125).pdf (50 Kb)
Publication type
Article
Upload type
Publication
Title
Title Attribute-Oriented Induction based Data Generalization for Relational Databases
Language en
Publication date 2010-12-16
Authors
Oo, Zin May
Phyu, Sabai
Description
Data Mining is the task of discovering interestingpatterns from large amounts of data where the datacan be stored in relational databases. Datageneralization is a process that abstracts a large set ofdata in a database from a relatively low level to higherconceptual levels. The attribute-oriented induction(AOI) is a data mining technique to extract generalizedknowledge from relational databases and the user’sbackground knowledge. AOI facilitates users inexamining the general behavior of the data. AOIallows the users to view the data at more meaningfulabstractions compared to the primitive level.
Keywords
Data Mining, Relational database, Data generalization, Attribute-oriented induction
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/842
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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