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Attribute-Oriented Induction based Data Generalization for Relational Databases
http://hdl.handle.net/20.500.12678/0000004942
http://hdl.handle.net/20.500.12678/00000049422fc825d9-dac1-4cae-9c4a-e805077e3bee
cb27e3f2-445c-433b-b5e9-9600e787e2f3
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psc2010paper (125).pdf (50 Kb)
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Article | ||||||
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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 |