DocumentCode
316954
Title
Discovery from Queries
Author
Wu, Yan ; Craske, Noel
Author_Institution
Dept. of Software Dev., Monash Univ., Clayton, Vic., Australia
fYear
1997
fDate
35738
Firstpage
120
Lastpage
122
Abstract
Stronger integration of database technology and data mining has been identified as one of the most important directions in knowledge discovery from databases (KDD) research. Database technology can certainly contribute more than just data preparation for KDD, and there should be ways to further explore new information from data processing. This paper discusses the possibility of using query results from databases with existing DBMSs as a good source of information for forming hypotheses for KDD, and designs a prototype system, called DQ (Discovery from Queries), to demonstrate its feasibility
Keywords
data preparation; deductive databases; knowledge acquisition; query processing; DQ system; Discovery from Queries; data mining; data preparation; data processing; database query results; database technology; hypothesis formation; knowledge discovery; Computer aided manufacturing; Data mining; Database systems; Decision trees; Design automation; Information retrieval; Knowledge management; Probability; Prototypes; Relational databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge and Data Engineering Exchange Workshop, 1997. Proceedings
Conference_Location
Newport Beach, CA
Print_ISBN
0-8186-8230-2
Type
conf
DOI
10.1109/KDEX.1997.629851
Filename
629851
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