1. One such algorithm is called Alpha - Beta Tree pruning.

2. Fruit Tree Pruning down vast quantities of timber per year.

3. The system includes five phases: data-preprocessing phase, tree growing phase, tree pruning phase, tree analysis and evaluation and the extracting rules phase.

4. Firstly, rough sets is used to reduce condition attribute and remove redundancy attribute, and then, C4.5 is used to build decision tree, rule knowledge is extracted by decision tree pruning.

5. This article focuses on the pruning strategy of the decision tree pruning.

6. The branch-avoiding mechanism is a key equipment of cutting parts of standing tree pruning machine.

7. Finally by comparison with C4.5 system, it is further confirmed that gradual increasing of the parameter within this interval may have the same effect as the crisp decision tree pruning.

8. The cluster representative was constructed by three successive steps named Tree matching, Tree merging and Tree pruning.

9. Under the instruction of the theory, this paper proposes a newdecision tree pruning approach based on rough set theory.

10. Introduces decision tree and points out its key techniques: the choice of testing feature and tree pruning.

11. The cluster representative was constructed by three successive steps named Tree matching( ), Tree merging Tree pruning.

12. This paper proposes a novel query expansion method using Local Context Analysis(LCA) based concept tree pruning.

13. In order to solve the issue of independent task scheduling in grid environment, a model of task scheduling based on permutation tree pruning is proposed.