Title :
Discovery from Queries
Author :
Wu, Yan ; Craske, Noel
Author_Institution :
Dept. of Software Dev., Monash Univ., Clayton, Vic., Australia
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;
Conference_Titel :
Knowledge and Data Engineering Exchange Workshop, 1997. Proceedings
Conference_Location :
Newport Beach, CA
Print_ISBN :
0-8186-8230-2
DOI :
10.1109/KDEX.1997.629851
