针对流程工业数据的高维数、不确定的特点，研究适合处理流程数据的模糊集、粗糙集的粒度数据挖掘理论和方法。
According to the high dimensions and uncertainty of process industrial data, the fuzzy set and rough set of granularity data mining are studied for process data.
此流程通常耗费他们数小时的时间。
尽管超过10,000字节的服务请求或消息仍然非常罕见，但是数百mb甚至数GB的文件在业务流程中是非常普遍的。
Although it is still rare for a service request or a message to exceed 10,000 bytes, files that are hundreds of megabytes and even gigabytes are common in business processes.
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