555 search results - page 24 / 111 » Knowledge discovery from sensor data (SensorKDD) |
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AUSAI
2005
Springer
15 years 3 months ago
2005
Springer
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
GI
2007
Springer
15 years 3 months ago
2007
Springer
: Negative information provides important additional knowledge that is not exploited for sensor data fusion tasks by default. This paper presents a new approach to incorporate such...
DAGM
1999
Springer
15 years 1 months ago
1999
Springer
Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images,...
IJCAI
2001
14 years 11 months ago
2001
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
DAGSTUHL
2004
14 years 11 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...