88 search results - page 5 / 18 » Optimizing Interval Training Protocols Using Data Mining Dec... |
EGC
2009
Springer
13 years 5 months ago
2009
Springer
We present a new evaluation criterion for the induction of decision trees. We exploit a parameter-free Bayesian approach and propose an analytic formula for the evaluation of the p...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
DKE
2008
13 years 7 months ago
2008
Handling missing data is a critical step to ensuring good results in data mining. Like most data mining algorithms, existing privacy-preserving data mining algorithms assume data ...
KDD
1997
ACM
13 years 12 months ago
1997
ACM
We address the problem of nding useful regions for two-dimensional association rules and decision trees. In a previous paper we presented ecient algorithms for computing optimiz...