133 search results - page 5 / 27 » Predicting Future Decision Trees from Evolving Data |
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
COLING
1996
13 years 8 months ago
1996
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
ESEM
2007
ACM
13 years 9 months ago
2007
ACM
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
CSDA
2008
13 years 7 months ago
2008
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...