清理倉庫 的英文怎麼說

中文拼音 [qīnglǐcāngkù]
清理倉庫 英文
take stockmake an inventory of warehouse stocks
  • 清 : Ⅰ形容詞1 （純凈） unmixed; clear 2 （寂靜） quiet 3 （清楚） distinct; clarified 4 （一點不留） w...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 倉 : 名詞1. （倉房; 倉庫） storehouse; warehouse 2. （姓氏） a surname
  • 清理 : put in order; clean; disentangle; check up; clear; sort out; liquidate
  1. If the actual shipment is released to the broker in bond, our responsibility terminates at the time we relinquish custody of the shipment to the broker

    如實際托運貨件于保稅倉庫交於指定清關代理人，本公司之責任於托運貨件交給該指定清關代理人保管時終止。
  2. This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work

    本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。
  3. After data cleaning and data transforming, the data warehouse comes to data loading

    在進行數據清理和數據轉換后，實現對數據倉庫的數據裝載。
  4. Ex works " means that the seller delivers when he places the goods at the dis - posal of the buyer at the seller s premises or another named place i. e. wa s, factory, warehouse, etc. not cleared for export and not loaded on any

    「工廠交貨指定地點」是指當賣方在其所在地或其他指定的地點如工場工廠或倉庫將貨物交給買方處置時，即完成交貨，賣方不辦理出口清關手續或將貨物裝上任何運輸工具。
  5. Regular disinfection office environment, storage, storage cleaned regularly

    定期消毒辦公室環境、倉庫，貯藏室定期清理。
  6. As one of the most advanced research problems in data warehouse system, data lineage tracing may play an important role in the area of in - depth data analysis, and help us to validate the source data, cleaning rules and transformation rules, and thus improving the quality of data warehouse

    數據志跟蹤技術是數據倉庫研究中一個最新的前沿性課題，不僅可以支持更全面、更深入的數據分析，還可以幫助技術人員驗證源數據、清洗規則和轉換處理的正確性，從而提高數據倉庫的質量。
  7. This thesis takes the process of the futures delivery as the object of the research, analyzes and investigates the physical delivery system. firstly the thesis introduces the connotation, status and functions of the futures delivery in the futures market, and then makes a deep research in the futures delivery systems concerned such as the designing of the grade of the listed commodity at par as well as the premium and discount, the selection of the delivery locations and the regulation on the designated delivery warehouses, as well as the management and circulation of the warehouse receipts. on the basis of the above - mentioned analysis, this paper makes some constructive suggestions and recommendations on the improvement and innovation of the futures delivery to be taken by the chinese futures market at the present stage

    本文首先闡明了期貨交割在期貨市場中的經濟內涵、樞紐地位和功能保障作用；然後，從合約設計出發，用均衡原理揭示了期貨交割制度與品種活躍和風險控制的有機關系；進而，對比中外交割制度，通過比較，認清了中外現貨基礎、誠信和法制等環境因素的差距，明白了「拿來」的內容和如何構建中國特色的交割制度；從而，就小麥國家標準的歷史局限性，標準和替代交割品級及其升貼水的設計原則，交割標準把握的出發點和落腳點，交割倉庫設置和管理的目標和狀況，標準倉單沾滯的根源等期貨市場交割制度及相關規定，進行了深入而細致的剖析。
  8. This paper describes the basic features and components of data warehouse system, and deals how to use description - driven technology to integrate different data warehouse systems, how to implement the change from one data schema to another, how to clean dirty data in data transformation process, and how to exchange data among different components or systems. at last, this paper takes two products to illustrate how to implement systems following these principles and methods. these two products are the e - chain system as an application in commerce domain, and the ftedws system as an application in engineer test domain

    本文分析了數據倉庫系統軟體的基本特徵，提出了利用描述驅動技術來實現數據倉庫系統的集成管理，描述了etl操作和分析處理的基本處理流程和相應的執行構件，定義了集成框架中數據模式轉換規則和數掘清洗規則，構建了一個基於星型模式和對象模型的分析模型和相應的數據查詢語言，提出了集成框架系統構件間的數據交換標準，並定義了基於此標準的的數據交換和元數據交換方法，探討了集成框架標準構件管理的基本方法和權限管理，最後介紹了數據倉庫集成框架系統在商業領域的應用實例e - chain系統和工程試驗領域的應用實例ftedws系統。
  9. Then the thesis further analyses some core techniques including the system of database, data warehouse and data mining and so on, and presents the frame of function of bank crm. the thesis puts its emphasis on the research on the data preprocessing of data warehouse, data copying, data cleansing, data integration and quality verifying included. finally the thesis discusses the key technology of data warehouse in bank crm - the cleansing of data of customers, and presents some methods of cleansing aiming at noisy values, missing values, conflicting values and duplicated values

    本文在充分分析銀行crm的需求的基礎上，提出了基於數據倉庫的銀行crm系統的體系結構，並進一步分析了該體系結構中客戶數據庫系統、數據倉庫、數據挖掘等核心技術組件的內涵，給出了銀行crm系統的功能構架；重點研究了銀行業務系統多年積累的客戶數據向數據倉庫遷移的預處理方法和過程，其過程包括數據復制、數據清洗轉換、數據集成、質量檢驗和數據裝載；最後討論了銀行crm系統應用數據倉庫的關鍵技術：客戶數據清洗，給出了針對噪聲數據、空缺數據、不一致數據和重復數據的清洗方法。
  10. The manager wants to clear off all the old stock in the warehouse

    經理想把倉庫里所有積壓的存貨清理掉。
  11. After building data warehouse, a visual data extracting, cleaning and transformation tool ( crm console system ) is developed to work for client olap analysis

    在建立數據倉庫之後，開發出一個可視化數據採集、清理、轉換工具，即crm總控程序，為客戶端olap分析做好了后臺準備工作。
  12. Our sales order handling system is a web based sales order handling system with sales order taking, packing list generation, inventory management functions, etc, linking salespersons on the road and warehouse operators

    具有訂單處理包裹清單和貨倉管理功能等等，可以將戶外售貨員和倉庫管理員的資訊進行有效的溝通。
  13. 2. build data warehouse logical model used for business analysis, realizing cleaning and transforming procedure and abstracting from data resources to data warehouse, accomplishing 4 analyzing snow - flake like model physics design, proposing data warehouse optimizing strategy directing business model. 3

    建立用於業務分析的數據倉庫邏輯模型，實現了數據從數據源到數據倉庫的抽取、清洗和轉換過程，在數據倉庫的物理設計階段，實現了四個分析專題雪花型模型的物理設計，提出了針對業務模型的數據倉庫優化策略。
  14. Based on the actual background of jinhua electric power and the application level of business intelligence ( bi ) technology, the construction objective supplementary decision system of operational analysis in jinhua electric power is determined. the useful data acquired by etl tools will be concentrated in data warehouse or data markets. decision proposal will be made on electric equipments maintenance, reactive power control, electric line operational analysis, equipment defect prevention and control and electric power fault diagnosis by adopting dw, olap and dm technologies

    針對金華電網運行生產的實際情況，結合當今業務智能技術（ bi ）的應用水平，金華電網運行分析輔助決策系統的建設目標是：在全局數據中心集中存儲和管理經過清洗、抽取后各種有用信息，並在數據集中的基礎上，採用數據倉庫（ dw ） 、聯機事務分析（ olap ）和數據挖掘（ dm ）等技術對大量的數據和信息進行分析和挖掘，提出有益於電力設備檢修、電壓無功優化、線路運行分析、缺陷預控和故障診斷等的決策建議。
  15. Warehouse locations provide quick response to orders, as well as providing delivery, stocking, and cleaning services

    公司倉庫以優越的地理位置保證了倉儲、運輸、理貨以及清理服務的迅速和便捷。
  16. Because the vigorous market competes and data warehouse give the business enterprise the high the bigness value, the high leaders of the material limited company of the two bureau of china ' s train draw a conclusion to establish the decision support system, increasing the competition ability of the business enterprise with more science more completely of decision support. we have investigate and understand the need of the leader, the manager of sale department and employee. according to the general principles that data warehouse design, we select the sale topic to establish prototype design

    對于該公司的領導、銷售部門經理、以及員工的調查與需求了解，以及按照數據倉庫開發的一般原則，首先選取商品銷售主題進行快速原型設計，從第三段開始以銷售決策系統設計開發為出發點，按照數據倉庫開發的一般原則和步驟，逐步探討了基於數據倉庫技術的中鐵二局物資有限公司銷售決策系統的項目需求分析、系統軟硬體結構設計、概念模型設計、多維數據邏輯建模、數據抽取、轉換、清洗和裝載設計、多維分析服務器的設計以及前端數據分析工具的設計與開發等問題。
  17. All signal is stored in sql database, then is purified, cleaned and transferred. at last, gear fault data warehouse is established by star pattern in microsoft sql server 2000

    所有數據存入到sql數據庫中，經過凈化、清理和轉換后，在microsoft的sqlserver2000平臺上採用星形模式構建齒輪故障數據倉庫。
  18. Warehouse transformers data clean, key table and time table generation, and invert and pivot data

    倉庫轉換器（數據清理、鍵表和時間表的生成，以及翻轉和透視數據）
  19. Hence, it is obvious that the importance of data warehouse and data mart. presently, the researches on data warehouse are mainly focused on how to extract, load, clean, compute, aggregate data and how to improve storage structure in data warehouse. but, the management of data warehouse process self is little noted

    目前，對數據倉庫的研究大多集中於如何對數據進行抽取、裝載、清洗、計算、聚合等過程上，以及如何改善數據倉庫的物理存儲結構，提高存儲空間的利用效率上，而對數據倉庫自身的管理則很少引起人們的注意。
  20. Two main contents of designing the database are proposed, one is to retrieve zipped data according to some rules, which is fulfilled by a few procedures together and can be controlled by input parameters. anther is to clear up the real - time data stored in database timely, which is fulfilled by using dts function in sql server 2000, and the data out of time can be deleted or saved as a access file

    數據庫的設計中最重要的是兩個內容，一個是要將壓縮的離散的數據按照一定的規律返回，這個任務是由幾個存儲過程協同完成的，可以輸入參數控制返回；另一個是，實時數據大量積累在數據倉庫中，要定時清理過期數據，因此使用microsoftsqlserver2000的數據導入導出工具dts完成了過期數據的刪除或者選擇保存為access文件。
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