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  1. University of Information Technology
  2. Faculty of Computer Science

Intelligent Query Answering By Knowledge Discovery Technique

http://hdl.handle.net/20.500.12678/0000002907
http://hdl.handle.net/20.500.12678/0000002907
040230a8-2517-4f00-a4ce-009cf55c6de8
c3efa35d-3dd4-4364-bcd7-42354e51a719
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Intelligent Intelligent Query Answering By Knowledge Discovery Technique.pdf (155 Kb)
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Publication type
Conference paper
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Publication
Title
Title Intelligent Query Answering By Knowledge Discovery Technique
Language en
Publication date 2008-12-01
Authors
Tin Tin Yee
Khin Sandar
Description
In this paper, we propose the framework of knowledge discovery technique for intelligent query answering. In a database system, there may exist two kinds of queries: data queries and knowledge queries. Data query finds concrete data stored in a database and corresponds to a basic retrieval statement in a database system. Knowledge query finds rules, patterns and other kinds of knowledge in a database and corresponds to querying database knowledge including deduction rules, integrity constraints, generalized rules, frequent patterns and so on. Our framework is based on attribute-oriented induction approach for the discovery of multiple, statistical rules in large database.
Keywords
Data Mining, Knowledge Discovery Technique
Conference papers
PSC
24 December, 2008
The Second Local Conference On Parallel and Soft Computing (PSC)
University of Computer Studies, Yangon (UCSY), Myanmar
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