時間序列數據 的英文怎麼說

中文拼音 [shíjiānxùlièshǔjù]
時間序列數據 英文
time series data
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 時間 : time; hour; 北京時間十九點整19 hours beijing time; 上課時間school hours; 時間與空間 time and spac...
  • 數據 : data; record; information
  1. The work of the paper mainly includes : ( 1 ) present a model for measuring the similarity between two hydrological time series. in this model, we adopt an intuitive dimensionality reduction technique for hydrological time series which is called piecewise average approximation ( paa )

    主要工作包括： （ 1 ）提出了適合水文時間序列數據特點的相似性模型，採用簡單直觀的等時間間隔序列分段平均值技術（ paa ）作為水文時間序列降維方法。
  2. Time series analysis for right censored data

    右刪失數據下的時間序列數據分析
  3. In this paper, we use nonparametric regression method in chinese financial time series, we also use both kernel regression after improving cross - validation function and local polynomial estimation of regression under mixing condition to study and analyze the volatility in chinese stock market

    在本文中，我們把非參數回歸的方法運用到我國實際的金融時間序列數據之中，討論了我國股價指數收益率序列的易變性。而在用非參數回歸進行估計時，選擇合適的窗寬有著重要的意義。
  4. Meanwhile, adjusting and optimizing the structure of investment distribution on education should be given attention. the innovation of this article are rest with : 1 ) applying granger causal relations methods to test causal relationships between education investment and economy growth ; 2 ) using time series data to built econometrical model, emphasizing education investment ' s long term feature ; 3 ) projecting future developments by arima model

    本文主要創新點在於: （ 1 ）利用格蘭傑因果關系檢驗確定教育投資與經濟增長之間的因果關系; （ 2 ）利用時間序列數據進行建模時，著重體現了教育投資的長效性這一重要的特殊性質; （ 3 ）利用齊次非平穩過程的arima模型對我國未來教育投資進行了預測。
  5. Since the knowledge of wto rules has been missed long time and the transparency of the related information the study needs is poor due to the organization and management system barriers, many previous studies were of cause hard to deeply and completely analyze the international competitiveness of departments, industries, regions and backward industries, hard to figure out the nature of the problems or issues and to put forward right and feasible strategy options. as to the study on the increase of the husbandry international competitiveness in all ways, there are few reports

    所構建的比較優勢與綜合指標互動式測定評價模型，不僅僅從總體角度，還結合從部門、行業、區域、相關產業的角度，通過加權、分解等途徑，全面測定評價畜牧業競爭力；不僅僅通過截面數據識別比較優勢和競爭力的現狀，還通過時間序列數據識別比較優勢和競爭力的趨勢，同時通過國際數據識別中國畜牧業比較優勢和競爭力在世界的地位現狀和趨勢。
  6. We can discover the m1 and m2 velocity of our country paces back and forth for a long time in the low level with the international comparison then, we analyzed the reason which affected the monetary velocity of our country and carry on the positive research and carry on the causality test

    從國際比較可以發現我國m1 、 m2流通速度長期在低水平上徘徊。然後本文重點運用計量經濟學中分析時間序列數據的協整理論，對影響中國貨幣流通速度變動的原因進行實證研究並進行因果關系檢驗。
  7. In this part, the first work is pretreatment of a numerical model, including creating calculating grids automatically, improvement of the linear boundary technique and so on. the second work is to estimate the siltation of a basin or channel by liu ' s equation. the third work is to build an edbms ( engineering data base management system ) for the result of mathematical model

    其中主要的工作是：其中主要的工作一是數學模型的前處理，計算網格自動生成，線邊界法的優化；二是應用劉家駒公式在長江口深水航道治理工程地理信息系統的支持下實現港池、航槽開挖的實時回淤估算；三是將計算成果形成gis管理和支持下的工程數據庫系統（ engineeringdatabasemanagementsystem ） ，同時嘗試解決時間序列數據如地形沖淤變化，潮位、流速過程的分析、查詢和顯示問題，並實現實時、互動的動態演示及三維可視化。
  8. Analyzing the characteristics of the time - series data of horizontal displacement from the continuous gps network in time and frequency domain, the similarity transformation is conducted in order to give prominence to the local deformation by selecting a few stations in the eastern china

    摘要對gps基準站連續觀測水平位移時間序列數據的時頻特徵進行了分析，為了突出局部變化的信息，在中國大陸東部選取一組參考點進行相似變換。
  9. Yan xiangbin, li yijun, fan bo. similar problems in time series data mining. proceedings 2003 international conference on management science and engineering. 2003 : 382 - 385

    閆相斌，李一軍，崔廣斌.事件預測的時間序列數據挖掘方法.計算機工程（已錄用）
  10. General method of similar sequence mining based on time series is to transform time series into discrete character series and cluster them into different sets, then compute the euclidean distance between querying series and these sets to measure their similarity

    摘要時間序列數據庫中相似子序列的搜索，常用滑動窗口、分形插值逼近等方法將時間序列分割成各子序列，線性擬合各分段子序列，計算查詢序列與各子序列的歐氏距離，滿足距離閾值條件的為相似子序列。
  11. With the increasing amount of data of time series in hydrological databases, it is very important in f100d forecasting and f100d dispatching to study the methods of retrieving similarity and then find the rules and tendencies contained in the hydrological time series

    水文數據庫中存在大量時間序列數據，發現水文時間序列中蘊藏的規律，有利於掌握水文數據變化規律和趨勢，在洪水預報、防洪調度方面有重要的現實意義。
  12. Second, the coordinate figure of the first and second principal components is of great audio - visual sicnifcance. it can clearly show the distinguishing feature and similarity. this is a very useful analyzing means. third, the factor analysis can be used completely to analyzing the aligning datas in time, its calculating results reflect totally the developmental trend and changing reasons of the textile industry in tianjin

    分析結果表明： （ 1 ）在適當選取指標后，使用主成分分析法，可以將第一主成分作為一個地區綜合經濟實力的度量，其公式具有穩定的系數且結果可靠可信： （ 2 ）主成分坐標圖（如圖3 ）具有很強的直觀意義，各省市的特點及相似性都非常清楚地展示出來，這是一個很有用的分析工具； （ 3 ）因子分析法完全可以作為時間序列數據的實證分析，其計算結果客觀全面地反映出天津紡織工業的發展趨勢及其變動原因。
  13. Although it can fulfill the queries and operations on the sequence data, it can not find the sequences or subsequences which have the same or approximately same pattern with the query sequences. it is necessary to extend the capability of the queries to find the hidden knowledge in the database

    時間序列數據庫描述、存儲時間序列數據並提供各種查詢操作，通常這些操作都是基於序列元素的值或者時間坐標進行的，無法實現對序列數據庫中所蘊含知識的查詢。
  14. The pure time - series analysis was developed firstly

    早期的研究主要以時間序列數據為主。
  15. Time series data set comes with a temporal ordering

    時間序列數據集伴隨著一個時間上的排序。
  16. A system of time series data mining based on hybrid model

    一種基於混合模型的時間序列數據挖掘系統
  17. A time series data set is a sequence of random variables indexed by time

    時間序列數據是以時間為指標的一個隨機變量序列。
  18. Finally, the dissertation is concluded with a summary and prospect of future time series data mining researches

    最後在總結全文的基礎上，指出了時間序列數據挖掘有待深入研究的若干個問題。
  19. However, most tsdm literature focuses on similarity research and few on pattern discovery or rule discovery

    當前對時間序列數據挖掘的研究大部分集中在相似性研究方面，針對模式發現和規則發現的研究內容比較少。
  20. Association rules, which was considered as one of the most important methods of data mining, has been applied to data mining on time series

    關聯規則作為數據挖掘的最重要的方法之一，近些年在時間序列數據挖掘中得到了廣泛的應用。
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