倉庫證券 的英文怎麼說
中文拼音 [cāngkùzhèngquàn]
倉庫證券
英文
warrant-
Designed and implemented the first level fund settlement software of stock, the data warehouse of securities corporation fund balance and the monitoring software of stock exchange in real time
完成公司證券一級清算、證券法人結算數據倉庫、交易實時監控軟體的開發。Commodity negotiable securities has manifest and sheet of pick up the goods, storehouse inn sheet to wait ; monetary negotiable securities includes cashier ' s cheque of commercial bill of exchange, commerce, bank draft, cashier ' s cheque and check to wait ; capital negotiable securities includes bond, stock to wait
商品證券有提貨單、運貨單和倉庫棧單等；貨幣證券包括商業匯票、商業本票、銀行匯票、銀行本票和支票等；資本證券包括債券、股票等。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
本文介紹了數據倉庫技術的發展現狀和基本原理，討論了數據倉庫技術在證券公司的應用意義；根據證券公司的數據特點和業務需求，提出證券公司數據倉庫系統的總體框架；圍繞股票行情數據分析這個主題，構建了一個數據倉庫設計的實例，探索證券公司數據倉庫的目標數據庫結構的設計方法；深層次討論了業務系統數據到數據倉庫環境的etl技術，並完成了一個利用dts工具進行源數據導入的實例。This paper have partly solved the basic problems of data warehouse building in securities companies, deeply discussed the theory and method of securities companies to build data warehouse on the base of originally operational systems. this paper provided basis theory and practical method for data warehouse technology to be further applied to securities management decision
論文解決了證券公司建立數據倉庫系統的基本問題，對證券公司在業務系統基礎上組建數據倉庫系統的理論和方法進行了深入的探討，為數據倉庫在證券公司的應用提供了基本理論依據和實踐方法。All in all, olam can improve the quality of data mining and help user understand the result of data mining. this paper study deeply on visual data mining, it includes : firstly, summarize the concept. application, classification and methods of visual data mining ; secondly, lucubrate the structure and implementation mechanism of olam engine, and design an prototype system of data mining based - on olam and present four process which the data go through from data warehouse to the presentation of visualization : data mining, data transform, the filtration of visualization and presentation of visualization ; thirdly, accomplish the visualization kit in prototype system, including 14 the visual component using in crm ( custom relation management ), which can be used for visualizeation of data in the telephone company, stock company, bank, and so on ; finally, study on the methods of association rules visualization, and use the visual component which is accomplished in the chaper 14 to implement them
本論文對基於olam的可視化數據挖掘技術做了比較深入的研究，主要包括對數據挖掘可視化的概念、應用、分類和方法進行了歸納總結；深入而詳細地研究了olam引擎的結構和實現機制，並設計了一個基於olam可視化數據挖掘的系統的模型結構，提出從數據倉庫到數據的可視化展現需要經過數據挖掘、數據轉換、可視化過濾和可視化展現四個步驟；針對本論文的課題背景，實現了基於olam可視化數據挖掘系統原型的可視化展現工具包，包括14個可視化組件，能用於證券、電信、銀行等部門數據的可視化；最後，還對關聯規則的可視化展現進行了研究，並用可視化展現包中的組件和類將其實現。After the year of 2000, applications of olap and dm based on dw were developped in traditional data dense trade as finance, insurance, negotiable securities, telecom and tax
2000年以來，以數據倉庫為基礎的在線分析處理和數據挖掘應用在國內的金融、保險、證券、電信、稅務等傳統數據密集型行業有所發展。分享友人