temporal data

基本解釋

DB2 tracks two different types of temporal data: system time and business time.
DB2 跟蹤兩種不同類型的時態(tài)數(shù)據(jù)：系統(tǒng)時間和業(yè)務(wù)時間。
A table that includes temporal data has a pair of date-time columns that indicate the period (the time interval) when the row is valid.
包含時態(tài)數(shù)據(jù)的表有兩個日期-時間列，它們表明每一行有效的期限（時間間隔）。
With DB2 10's temporal data features, application developers and system administrators can support time-based data more easily than ever before.
使用 DB2 10 的臨時數(shù)據(jù)特性，應(yīng)用程序開發(fā)人員和系統(tǒng)管理員能夠比以前更輕松地支持基于時間的數(shù)據(jù)。

The goal is to amass a consistent set of data across a broad geographic region and sense it periodically to develop temporal data sets.
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時態(tài)數(shù)據(jù)
We propose some way by which we can query temporal data and manage temporal data.
針對這些問題我們初步提出了在SIDSS系統(tǒng)如何實現(xiàn)對時態(tài)數(shù)據(jù)的進行查詢和管理的方法。
時序數(shù)據(jù)
This paper attempts to convert temporal data into strings and uses related string pattern match algorithms in the analysis of the financial temporal data.
本文嘗試將時序數(shù)據(jù)字符串化,引入傳統(tǒng)的字符串模式匹配相關(guān)算法進行金融時序數(shù)據(jù)的分析。
時間數(shù)據(jù)
And try the new multidimensional data model of flow of traffic, make use of data mining classical algorithm realize some concerning traffic flow spatio data mining and temporal data mining and spatio-temporal data mining of monitoring data.
并嘗試新的交通流量多維數(shù)據(jù)模型,利用數(shù)據(jù)挖掘經(jīng)典算法實現(xiàn)一些關(guān)于交通流量監(jiān)測數(shù)據(jù)的空間、時間數(shù)據(jù)挖掘以及時空數(shù)據(jù)任務(wù)。
測繪科學(xué)技術(shù)
時序數(shù)據(jù)
A multi-level approach was presentedthat solved these problems as well as the request for different temporal data scales.
針對這些問題,結(jié)合GIS中對于時序精度的不同需求,提出了一種多級別時序數(shù)據(jù)模型。
經(jīng)濟學(xué)
時態(tài)數(shù)據(jù)