Data Stream Processing

Frequent items mining is a very basic but important task in the data stream processing.

频繁项集挖掘是一个非常基本的，但最重要的任务，在数据流处理。

Here, we have a thread solely responsible for processing a nonblocking channel (the producer) and another thread solely responsible for consuming the data as a stream (the consumer).

这里，我们让一个线程单独负责处理非阻塞通道(生产者)，让另一个线程单独负责把数据作为流消费(消费者)。

A processor interprets a stream of data as instructions to execute; it has one or more processing units that perform integer and floating-point arithmetic as well as more advanced computations.

处理器将数据流解释为要执行的指令，它拥有一个或多个处理单元，用于执行整数和浮点运算以及更高级的计算。