63 search results - page 10 / 13 » Rough Sets in Spatio-temporal Data Mining |
ESANN
2004
13 years 8 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
FAST
2009
13 years 5 months ago
2009
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
RSCTC
2000
Springer
13 years 11 months ago
2000
Springer
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
RSFDGRC
1999
Springer
13 years 11 months ago
1999
Springer
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...