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Intelligent Query Answering By Knowledge Discovery Technique
http://hdl.handle.net/20.500.12678/0000002907
http://hdl.handle.net/20.500.12678/0000002907040230a8-2517-4f00-a4ce-009cf55c6de8
c3efa35d-3dd4-4364-bcd7-42354e51a719
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Conference paper | ||||||
Upload type | ||||||
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 |