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Attribute-Oriented Induction based Data Generalization for Relational Databases

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dc.contributor.author Oo, Zin May
dc.contributor.author Phyu, Sabai
dc.date.accessioned 2019-07-12T04:37:07Z
dc.date.available 2019-07-12T04:37:07Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/842
dc.description.abstract Data Mining is the task of discovering interesting patterns from large amounts of data where the data can be stored in relational databases. Data generalization is a process that abstracts a large set of data in a database from a relatively low level to higher conceptual levels. The attribute-oriented induction (AOI) is a data mining technique to extract generalized knowledge from relational databases and the user’s background knowledge. AOI facilitates users in examining the general behavior of the data. AOI allows the users to view the data at more meaningful abstractions compared to the primitive level. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.subject Data Mining en_US
dc.subject Relational database en_US
dc.subject Data generalization en_US
dc.subject Attribute-oriented induction en_US
dc.title Attribute-Oriented Induction based Data Generalization for Relational Databases en_US
dc.type Article en_US


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