Sciweavers

132 search results - page 14 / 27
» Induction of Oblique Decision Trees
Sort
View
AAAI
1994
13 years 10 months ago
Using Induction to Refine Information Retrieval Strategies
Conceptual information retrieval systems use structured document indices, domain knowledge and a set of heuristic retrieval strategies to match user queries with a set of indices ...
Catherine Baudin, Barney Pell, Smadar Kedar
CORR
2007
Springer
151views Education» more  CORR 2007»
13 years 8 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
ECAI
2008
Springer
13 years 10 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
BTW
1999
Springer
145views Database» more  BTW 1999»
14 years 26 days ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
CORR
2002
Springer
91views Education» more  CORR 2002»
13 years 8 months ago
Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
Peter D. Turney