195 search results - page 1 / 39 » Quantifying Uncertainty of Knowledge Discovered From Databas... |
RSCTC
1993
Springer
13 years 9 months ago
1993
Springer
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
DATAMINE
1998
13 years 4 months ago
1998
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
JASIS
2000
13 years 4 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
AAAI
1996
13 years 6 months ago
1996
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
KDD
1998
ACM
13 years 9 months ago
1998
ACM
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...