48 search results - page 3 / 10 » Mining Optimized Gain Rules for Numeric Attributes |
ADC
2003
Springer
13 years 10 months ago
2003
Springer
The mining of informative rules calls for methods that include different attributes (e.g., weights, quantities, multipleconcepts) suitable for the context of the problem to be an...
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
FLAIRS
2010
13 years 7 months ago
2010
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
RSFDGRC
2005
Springer
13 years 10 months ago
2005
Springer
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
EPIA
2003
Springer
13 years 10 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...