security data造句
例句與造句
- research in conformity of public security data and service modes
公安信息資源整合和服務模式研究 - does not read or write security data
不讀取或?qū)懭氚踩珨?shù)據(jù)。 - declarative security data in metadata is created from the permission returned by this method
用此方法返回的權(quán)限創(chuàng)建元數(shù)據(jù)中的聲明性安全數(shù)據(jù)。 - declarative security data in metadata is created from the permission that this method returns
從此方法返回的權(quán)限創(chuàng)建元數(shù)據(jù)中的聲明性安全數(shù)據(jù)。 - you can secure every interaction with a database object, and easily maintain the security data
可以確保與數(shù)據(jù)庫對象的任何交互的安全，并容易地保證數(shù)據(jù)安全。 - It's difficult to find security data in a sentence. 用security data造句挺難的
- declarative security data in metadata is created from the permission corresponding to the attribute that this method returns
元數(shù)據(jù)中的聲明性安全數(shù)據(jù)從對應于此方法返回的屬性的權(quán)限創(chuàng)建。 - specifies that the server accepts the authentication mechanism specified by the client, and the exchange of security data is complete
指示服務器接受客戶端指定的身份驗證機制，并且安全數(shù)據(jù)交換完成。 - declarative security data in metadata is created from the permission that this method returns that corresponds to this attribute
元數(shù)據(jù)形式的聲明安全數(shù)據(jù)從此方法返回的、對應于此屬性(attribute)的權(quán)限創(chuàng)建。 - declarative security data in metadata is created from the permission object this method returns corresponding to this attribute instance
元數(shù)據(jù)中的聲明安全數(shù)據(jù)是從該方法所返回的與此屬性實例對應的權(quán)限對象創(chuàng)建的。 - ministry of public security data show that police handled 4.19 million criminal cases in the first 11 months of 2006, down 0.8 percent year on year
據(jù)公安部的有關數(shù)據(jù)顯示，公安部門2006年前11個月共破獲刑事犯罪案件共419萬起，比去年同期下降0.8。 - ministry of public security data show that police handled 4.19 million criminal cases in the first 11 months of 2006, down 0.8 percent year on year
據(jù)公安部的有關數(shù)據(jù)顯示，公安部門2006年前11個月共破獲刑事犯罪案件共419萬起，比去年同期下降0.8。 - many empirical investigations have validated that the " day-of-week effect " is an ubiquitous phenomena in many developed countries " securities business and in some burgeoning stock market . but the methods investigations have used were so different that one conclusion can not be horizontally compared with the other conclusion . furthermore, some method model themselves were possible ill-suited to securities data
許多實證研究證實，“周內(nèi)效應”(day-of-theweekeffect)是國外許多發(fā)達國家證券市場與某些新興的股票市場普遍存在的一種現(xiàn)象，但所使用的分析方法各異，難以使人將結(jié)論進行橫向比較，更為可能的是，有些方法模型本身可能對證券數(shù)據(jù)是不合適的，建立合理的統(tǒng)計檢驗“周內(nèi)效應”方法是本文仔細研究的問題。 - this paper introduced the development and related theory of data warehouse, discussed the securities industry solution of data warehouse application; according to the characteristic and business demands of securities companies, the paper presented an architecture of securities data warehouse system, and introduced the function of each component; after describing the task of database structure design, this paper brought forward an example of database design around the object of stock quotation analysis; moreover, as an emphasis, the interface of operational system and data warehouse environment, the etl technology, was deeply discussed . an example of data transfer by dts was presented
本文介紹了數(shù)據(jù)倉庫技術的發(fā)展現(xiàn)狀和基本原理，討論了數(shù)據(jù)倉庫技術在證券公司的應用意義；根據(jù)證券公司的數(shù)據(jù)特點和業(yè)務需求，提出證券公司數(shù)據(jù)倉庫系統(tǒng)的總體框架；圍繞股票行情數(shù)據(jù)分析這個主題，構(gòu)建了一個數(shù)據(jù)倉庫設計的實例，探索證券公司數(shù)據(jù)倉庫的目標數(shù)據(jù)庫結(jié)構(gòu)的設計方法；深層次討論了業(yè)務系統(tǒng)數(shù)據(jù)到數(shù)據(jù)倉庫環(huán)境的etl技術，并完成了一個利用dts工具進行源數(shù)據(jù)導入的實例。 - (2 ) when analyzing the testing method for the " day-of-week effect ", we considered the ols regression effect and the testing power will decrease because of the different variable in real securities data . we considered the identification . estimation and hypothesis testing of the linear regression model with one rank auto-regression ( ar ( 1 ) ) error ( 3 ) we considered how investors reasonably utilize the testing result of the " day-of-week effect " to direct the investment strategies after obtained it
(2)在對“周內(nèi)效應”的檢驗方法進行分析時，考慮到實際證券數(shù)據(jù)由于具有異方差性，使得利用ols進行回歸將導致回歸效果和檢驗的勢降低，我們對于具有一階自回歸誤差的線性回歸模型，仔細討論了該模型的識別、估計和對相應參數(shù)假設檢驗的方法。