Early prediction of liver disease is very important to save human life and take proper steps to control the disease. Decision Tree algorithms have been successfully applied in various fields especially in medical science. This research work explores the early prediction of liver disease using various decision tree techniques. The liver disease dataset which is select for this study is consistin...

The instability of learning algorithms is an important topic that is often overlooked in the field of machine learning. An unstable learner is one that may yield dramatically different classifiers from training sets that differ just slightly. Decision tree learning algorithms produce accurate models that can be interpreted by a domain expert with relative ease. However, these algorithms are kno...

significant advantages of intermodal and containerized transport have increased the global interest to this mode of transportation. this growing interest is reflected in the annual volume of container cargo growth. however, the container transport inside iran does not have a proper place. comparing the count of containers entering and leaving ports with the statistics obtained from railway and ...

Significant advantages of intermodal and containerized transport have increased the global interest to this mode of transportation. This growing interest is reflected in the annual volume of container cargo growth. However, the container transport inside Iran does not have a proper place. Comparing the count of containers entering and leaving ports with the statistics obtained from railway and ...