Transfer the stream data into an array.
把流数据转移到数组中。
The technology to stream data from planes does have some limitations.
从飞机上传送数据流的技术确实有一些限制。
However, RFCOMM is the better choice when you want to send and receive stream data, just like you would with a traditional serial port.
但是，如果想发送和接收流数据，则RFCOMM是更好的选择，就像使用传统的串口一样。
But they'll increasingly be used with other software to "tease out" relationships in data that can then be used to handle incoming stream data on the fly.
它们还将更多地用于其他软件中，以“梳理”数据中的关系，然后可将这些关系用于处理动态传入的流数据。
RFCOMM is better when you want to send and receive stream data (and when you'd like to take a traditional serial port application and Bluetooth-enable it).
如果想发送和接收流数据（而且想采用传统的串口应用程序，并给它加上蓝牙支持），那么 RFCOMM更好。
Many stream data mining algorithms have been proposed.
学者们已提出大量处理流数据的挖掘算法。
The technology to stream data from planes does have some limitations.
从飞机上传送数据流的技术确实面临一些限制。
Finally, the thesis introduced the design and realization of stream data signature.
本文最后给出了流式数据签名与验证系统的设计和实现。
The stream data obtained from simulated calculation can be used for equipment calculation.
利用模拟计算得到的物流数据能够进行装置的设备计算。
Present a system framework of intelligent DSS based on click-stream data mining technology.
提出基于点击流挖掘技术的商务智能辅助决策系统框架。
The thesis mainly addresses the security problems of stream data transported through Internet.
本文主要研究流式数据在因特网上传输的安全问题。
Meanwhile, the research of the stream data clustering algorithm would be useful references to the similar researches.
同时，本文对流数据聚类算法的研究，对于促进同类问题的研究具有一定的理论价值和借鉴意义。
This paper discusses vital technique for secure communication of multimedia. It analyzes some ways for stream data encryption.
讨论了保障多媒体通信安全的几个关键技术，分析了流媒体加密的几种方式。
Then the characters of stream data mining algorithms are summarized and several techniques that are used in these algorithms are introduced.
然后，总结了流数据挖掘算法的特点，并给出了算法中常用的技术。
As web users rely more and more on activity streams for information consumption, it makes sense to be able to syndicate and subscribe to activity stream data.
随着Web用户越来越依赖于活动流来获取信息，能够发布和订阅活动流数据变得很重要。
These discoveries are being used to monitor new stream data to flag the change in cries and provide early warnings to doctors and nurses of impending problems.
这些发现被用于监控新的流数据，以标记出哭声中的变化，为医生和护士提供即将出现的问题的早期预警。
Finally the problems in applying the MADSPM model to association rule mining in stream data are discussed and the strategies for solving them are also given.
最后对基于MADSPM模型的流数据关联规则挖掘问题中需注意的一些问题进行了阐述与分析。
A frequent items mining algorithm of stream data (SW-COUNT) was proposed, which used data sampling technique to mine frequent items of data flow under sliding Windows.
提出了一种流数据上的频繁项挖掘算法(SW - COUNT)。该算法通过数据采样技术挖掘滑动窗口下的数据流频繁项。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
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