DocumentCode :
2704768
Title :
What´s new? Using prior models as a measure of novelty in knowledge discovery
Author :
Ludwig, Jeremy ; Livingston, Gary ; Vozalis, Emmanouil ; Buchanan, Bruce
Author_Institution :
Dept. of Comput. Sci., Pittsburgh Univ., PA, USA
fYear :
2000
fDate :
2000
Firstpage :
86
Lastpage :
89
Abstract :
One of the challenges of knowledge discovery is identifying patterns that are interesting, with novelty an important component of interestingness. Another important aspect of knowledge discovery is making efficient use of background knowledge. This paper develops a definition of novelty relative to a prior model of the domain. The definition of novelty is tested using pneumonia outcome data and a prior model of pneumonia severity
Keywords :
data mining; medical information systems; very large databases; background knowledge; knowledge discovery; large databases; medical database; novelty; pneumonia outcome data; prior models; Computer science; Data mining; Intelligent systems; Laboratories; Lungs; Mathematics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1082-3409
Print_ISBN :
0-7695-0909-6
Type :
conf
DOI :
10.1109/TAI.2000.889850
Filename :
889850
Link To Document :
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