There is a growing need to perform real-time analytics on dynamic graphs in order deliver the values of big data users. An important problem from such applications continuously identifying and monitoring critical patterns when fine-grained updates at high velocity occur graphs. A lot efforts have been made develop practical solutions for these problems. Despite efforts, existing algorithms show...

decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. the resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. the most comprehensible decision trees have been designed for perfect symbolic data. classical crisp decision trees (dt) are widely applied to classification t...