| 1. | Enables design - time binding to business objects
允许设计时绑定到业务对象。 |
| 2. | Whatever is time bound is momentary and has no reality
任何有时限的皆是短暂而不实。 |
| 3. | Rules are executed in a way that facilitates run - time binding
以利于执行时系结的方式来执行规则。 |
| 4. | Compile - time binding
编译时绑定 |
| 5. | Time bound tuning
时间限制优化 |
| 6. | This service run - time binding could be instantiated using any of the following mechanisms
可以利用下列任意一种机制来演示这个服务运行时绑定： |
| 7. | We extend the current episodes rule discovery algorithm and make it be able to find episodes rule with two time bound and be applicable for large set database
扩展了目前电信告警数据中的频繁情节挖掘算法，使之能够挖掘出具有两个时间界限的频繁情节规则，而且适合于大数据集挖掘。 |
| 8. | In this chapter , you ' ll learn about polymorphism ( also called dynamic binding or late binding or run - time binding ) starting from the basics , with simple examples that strip away everything but the polymorphic behavior of the program
在本章，你将通过一些只有多态方法的小例子学习到多态性（动态绑定，后绑定或者运行时绑定） 。 |
| 9. | On the basis of fully analyzing current algorithms for mining frequent episodes from telecommunication alarm data , the thesis extends the current episodes rule discovery algorithm and makes it capable to find episodes rule with two - time bound and can be applicable for large set database . in order to make the discovered patterns fit for fault detection , mining multi - dimension episodes is proposed in the thesis
论文在充分分析目前电信告警数据中的频繁情节挖掘算法的基础上，针对故障诊断需要，提出了挖掘多维频繁情节，使之能够挖掘出具有两个时间界限的频繁情节规则，同时适合于大数据集挖掘。 |
