stream time中文是什么意思

• 连续开工时间，工作周期。
  

• "stream"中文翻译    n. 1.河流，小河；川，溪。 2.流出，流注；一连串， ...
• "time"中文翻译    n. 1.时，时间，时日，岁月。 2.时候，时刻；期间； ...
• "stream-to-stream time" 中文翻译 :    停工检修时间
• "on stream time" 中文翻译 :    投产的时间
• "on-stream time" 中文翻译 :    开工周期; 连续开工时间
• "time on stream" 中文翻译 :    运行时间
• "time on-stream" 中文翻译 :    连续开工期限
• "catalyst-on-stream time" 中文翻译 :    催化剂运行时间
• "time stream transformation" 中文翻译 :    时间流变换
• "the earliest time of under stream period" 中文翻译 :    工序最早开工期
• "a stream of" 中文翻译 :    一连串，一系列; 一连串的..
• "be on stream" 中文翻译 :    投入生产
• "in a stream" 中文翻译 :    处于-状态
• "of the stream" 中文翻译 :    小溪
• "on stream" 中文翻译 :    进行生产; 在开发过程中; 在流程中; 在运转中
• "on-stream" 中文翻译 :    adv.，adj. 在生产中(的)。
• "stream" 中文翻译 :    n. 1.河流，小河；川，溪。 2.流出，流注；一连串，(人物等的)辈出。 3.(事件等的)连续；(财富等的)滚滚而来。 4.趋势，倾向，潮流。 5.〔英国〕(一个年级学生中按智力划分的)班组。 A bridge is being built over the foaming stream. 正在这条怒流滚滚的河上建造一座桥。 The accident delayed a long stream of cars, buses and bicycles. 这一交通事故阻碍了一条汽车、公共汽车和脚踏车的长流。 a stream of lava 熔岩流。 sun streams 太阳光线。 the stream of time [times] 时代趋势。 the stream of popular opinion 舆论趋势。 the stream of thought 思潮。 against the stream 逆流；违反时势。 down (the) stream 顺流，向下游。 go by in a stream 一连串陆续通过。 in streams [a stream] 连续，陆续，接连，川流不息地。 in the stream 在河的中流。 up (the) stream 逆流，向上游。 with the stream 顺流；顺应时势。 vi. 1.流，流动；(泪等)流出；(光线等)射出。 2.蜂拥而进，鱼贯而行，川流不息地通过。 3.(旗等)飘扬，招展；(头发)飘动。 vt. 1.使流，使流出，倾注。 2.使飘扬；展开(旗帜等)。 3.把(学生)按智力等分班。 Students are now streaming back to their dormitories. 现在学生们川流不息地回到宿舍去。 I turned off the light and let the moonlight stream in through the window. 我关上电灯，让月光从窗间照射进来。 The flag is streaming in the wind. 旗帜在风中飘扬。 a streaming cold 流鼻涕淌眼泪的感冒。 a streaming umbrella 淌着雨水的伞。 crowd streaming past 接连不断走过的群众。 Her eyes streamed tears. 她的眼睛流泪。 The honeysuckle was streaming scent. 忍冬花放出香气。 The school streams pupils into three classes. 学校按智力把学生分成三班。 adj. -d 1.＝streamline. 2.最新式的。
• "stream no" 中文翻译 :    物流号
• "stream on" 中文翻译 :    在流程中
• "revived stream;rejuvenated stream" 中文翻译 :    复活河
• "a brawling stream" 中文翻译 :    哗哗哗流淌的小溪
• "a day in the stream" 中文翻译 :    钓鱼的收获
• "a gurgling stream" 中文翻译 :    流水淙淙; 溪水淙淙
• "a limpid stream" 中文翻译 :    清亮的溪水
• "a lucid stream" 中文翻译 :    清澈的溪流

• Ptwma is an effective successful algorithm and model to the knowledge discovery of the multiple streams time series
  Ptwma为分布式，并行控掘多流时间序列提供了一种有效的算法和模型。
• 4 . research of online similar search in a streaming time series an algorithm on online similar search in a streaming time series is proposed
  4 ）动态时间序列在线模式的相似性查找研究针对时间序列实时分析的需要，给出了一种动态序列的在线相似性查找算法。
• These researches will help us to discover changing or developing principle of things , support to decision - making , etc . the thesis addresses several key technical problems of pattern mining and its search based similarity in time series , which covers feature patterns and relationship patterns mining , pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis . major contributions of this thesis include : 1 . research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series
  本文在分析时间序列特点和实际应用需求的基础上，针对时间序列的挖掘与相似性查找一些关键技术进行了研究，具体包括特征模式挖掘、多序列关联模式挖掘、相似性模式查找等方面，所做的工作和取得的创新成果体现在以下三个方面： 1 )时间序列特征模式挖掘研究首次提出了一种基于互关联后继树模型的时序特征模式挖掘方法。
• We ca n ' t divide the multiple streams time series into singleness times series simply in the research of multiple streams time series , we ' ll dissever the relation between the events of the multiple streams . although the msdd can find the dependency relationship of multiple streams , but it have n ' t the initialization of the events , the express of the time relationship between events is not frank , the cost of the algorithm is expensive ( o ( n5 ) ) , i ca n ' t find much more knowledge in multiple time series , it find the dependency patterns only of the multiple time series , so there need a new more effective , frank , complete algorithm to find the knowledge
  研究多流时序不能简单地将它割裂为单流时序，因为这样就割裂了数据流事件之间的关系。虽然msdd能够发现多流时间序列中的依赖模式，但是由于其缺少对数据的初始化、事件之间时间关系的表示不直观、算法执行的时间空间开销很大( o ( n ~ 5 ) ) 、不能够充分发现多流时间序列包含的知识，它只发现依赖关系，因此研究新的，高效，全面的发现多流时间序列事件之间关系的算法成为必要。本文分析了单一和多流时间序列中的知识发现，把多流时间序列事件内部存在的关系表示为：关联模式、依赖模式、突变模式。
• This paper analysis the data mining of the single nd multiple streams time series , and draw a conclusion that the relationship between the events of the multiple streams time series are the association patterns dependency patterns , sudden patterns , this paper call them are structure patterns , the existing algorithm have n ' t discuss these patterns , although msdd discussed the dependency patterns , however , it ignored the association patterns , sudden patterns , this paper have a definition of the association patterns , sudden patterns and dependency patterns , and have a complete , frank algorithm called twma ( time window moving and filtering algorithm ) , the peculiarity of this algorithm is that events is listed by the time window , by this way , the relationship of the events is clear
  本文将它们统称为结构模式，而这正是目前其它算法、没有考虑到的，虽然msdd考虑了事件之间的依赖关系，但它忽略了突变模式，关联模式等重要的知识表示。本文给出了关联模式、依赖模式、突变模式的定义，提出了一个比较灵活全面、直观的挖掘它们的算法：时间窗口移动筛选算法twma ( timewindowmovingandfilteringalgorithm ) 。该算法的一个突出特点是将时间序列事件按时间窗口序列化，使得事件之间的时间关系表示很直观，该算法能成功地从多流时间序列中发现了事件之间的关系。
• These researches will help us to discover changing or developing principle of things , support to decision - making , etc . the thesis addresses several key technical problems of pattern mining and its search based similarity in time series , which covers feature patterns and relationship patterns mining , pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis . major contributions of this thesis include : 1 . research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series
  本文在分析时间序列特点和实际应用需求的基础上，针对时间序列的挖掘与相似性查找一些关键技术进行了研究，具体包括特征模式挖掘、多序列关联模式挖掘、相似性模式查找，在线相似性查找以及最终的分析应用系统开发等方面，所做的工作和取得的创新成果体现在以下五个方面： 1 )时间序列特征模式挖掘研究首次提出了一种基于互关联后继树模型的时序特征模式挖掘方法。