twma 中文意思是什麼
twma
解釋
木工機械發展協會-
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
本文將它們統稱為結構模式，而這正是目前其它演算法、沒有考慮到的，雖然msdd考慮了事件之間的依賴關系，但它忽略了突變模式，關聯模式等重要的知識表示。本文給出了關聯模式、依賴模式、突變模式的定義，提出了一個比較靈活全面、直觀的挖掘它們的演算法：時間窗口移動篩選演算法twma （ timewindowmovingandfilteringalgorithm ） 。該演算法的一個突出特點是將時間序列事件按時間窗口序列化，使得事件之間的時間關系表示很直觀，該演算法能成功地從多流時間序列中發現了事件之間的關系。 -
The traditional serial algorithm ca n ' t do work well for the data ocean quickly and correctly, it also important to research the parallel algorithm. this paper analysis the main parallel algorithm and models, and find there are two problema : how to use the capability of the processors and the information number of the transmission between the processors. this paper extend the twma to ptwm, and ptwma solve the problem by the method of table corresponding, and the idea that the algorithm need not to transmit the large item sets
本文通過分析當前主要的并行模型、演算法，總結出它們面臨的共同問題是：處理機容量的限制和處理機需要傳輸大量的數據，於是，本文在twma的基礎上提出了ptwma ，採用了表對應技術、以及演算法本身不需要反復傳輸大項集的策略來克服了上述兩個問題。
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