DocumentCode
3265708
Title
Optimization of knowledge discovery process using domain knowledge
Author
Owrang, M. Mehdi
Author_Institution
Dept. of Comput. Sci. & Inf. Syst., American Univ., Washington, DC, USA
fYear
35765
fDate
8-10 Dec1997
Firstpage
428
Lastpage
433
Abstract
Modern database technologies process large volumes of data to discover new knowledge. Some large databases make discovery computationally expensive. Additional knowledge, known as domain or background knowledge, can often guide and restrict the search for interesting knowledge. We discuss mechanisms by which domain knowledge can be used effectively in discovering knowledge from databases. In particular, we look at the use of domain knowledge to reduce the search as well as to optimize the hypotheses which represent the interesting knowledge to be discovered
Keywords
database theory; deductive databases; knowledge acquisition; optimisation; search problems; very large databases; background knowledge; computationally expensive; deductive database; domain knowledge; knowledge discovery; knowledge discovery process optimization; large data volumes; large databases; search; Computer science; Data analysis; Data mining; Databases; Information systems; Packaging; Pattern recognition; Quality control; Rough sets; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems, 1997. IIS '97. Proceedings
Conference_Location
Grand Bahama Island
Print_ISBN
0-8186-8218-3
Type
conf
DOI
10.1109/IIS.1997.645328
Filename
645328
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