倉庫數量 的英文怎麼說

中文拼音 [cāngkùshǔliáng]
倉庫數量 英文
warehouse planning and network vmi crossdock wws cpfrr
  • 倉 : 名詞1. （倉房; 倉庫） storehouse; warehouse 2. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 數量 : quantity; quantum; amount; magnitude; number
  1. The thesis discuss the data mining principle and technology from application and the fact of guizhou telecom. by uniting the designing and developing processes, the system cleanout, change, loading the volume custom operation data into the data warehouse that used many analyst methods such as clustering analyst, forecast analyst to make the function of subdividing custom colony and running and improved the competition core ability of enterprise

    同時，針對貴州電信海量的客戶運營數據，經過清洗、轉換、整合到數據倉庫中，採用了多種分析方法，如聚類分析、預測分析，實現了客戶群細分、客戶流失預測等功能，極大的提高了貴州電信核心競爭力。
  2. Sound beans from storage flow into a feeding hopper that regulates their flow into the plant.

    完整的大豆從倉庫輸運到喂料斗里，喂料斗可調節大豆運入工廠的數量。
  3. 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。
  4. The database system facing the selection and cultivation support for cadres in the army supply a decision - making support for cadres ’ appointment and remove by the introduction of advantaging technique of database and the primary mining and analysis of data to realize informative 、 scientifically in the management of cadres in the army, informationalization and scientiztion for military officer management

    通過對建立面向幹部選拔的主題數據倉庫，進行聯機分析（ olap ）和數據挖掘（ dm ） ，從中提煉出利於分析和決策的綜合信息，獲得大量有用知識，為幹部的選拔任用和選擇更加合理的培養方案提供決策支持。
  5. How can data quality be quantified in the data warehouse

    如何來量化數據倉庫中的數據質量？
  6. The data in data warehouses and data marts is usually updated frequently, and the data loads are typically very large

    數據倉庫和數據集市中的數據通常會頻繁更新，因此數據加載量通常會很大。
  7. 3 ) the concept of data warehouse and olap technology are introduced, and the system structure of olam is built on olap and association rules mining algorithms., and the system is implemented in air quality forecasting system

    3 ）引入了數據倉庫的概念和olap技術，以它們作為基礎，結合關聯規則挖掘演算法，形成了olam的系統結構，並在空氣質量預測系統中初步地實現。
  8. The paper puts forward the model of reference about common corporations and detailed designs based on dw ' s requirements analysis, then discusses that how a corporation builds the dws ( data warehouse system ). this paper ' s main breakthrough lies on : in the information condition of national corporations, how to improve the decision - making ability of corporation by dw technology ; bringing forward the model of reference about common corporation ; constructing the dm model to control the quality of products

    在數據倉庫需求分析的基礎上，提出了數據倉庫系統建設的總體框架和詳細設計，然後論述了企業如何進行數據倉庫系統構建。本文的主要創新點在於：在國內企業目前的信息環境下，如何結合數據倉庫技術提高企業的決策能力，提出了一般企業的參照模型；在數據挖掘方面，提出了一個用以指導產品質量控制的數據挖掘模型。
  9. Is one kind of horizontal transport equipment ; in the small scope the work convenient, the usability suits under the majority condition to be few, the temporary short haul ; is the factory, the warehouse and one of supermarket commonly used loaders ; it has the structure simply, is self - possessed lightly, is convenient quickly and so on the characteristic

    鐵板手推車：是一種平面運輸設備；在小范圍內作業的方便性、實用性適合大多數條件下少量、臨時短途運輸；是工廠、倉庫和超市常用的搬運設備之一；它具有結構簡單、自重輕、方便快捷等特點。
  10. For different amounts of equipment, characteristic values of the system such as warehouse leisure time, port leisure time, freight time, freight amount, warehouse utilization, port utilization, van utilization are got

    對不同的設備配置如倉庫數、車輛數、泊位數進行了模擬試驗，得出相對應的一些系統特徵值，如倉庫空閑時間、碼頭空閑時間、運貨車次、運貨量、倉庫利用率、碼頭利用率、起重車利用率等。
  11. 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。
  12. The amount of beauty products currently in your warehouse is displayed on the bottom onscreen menu

    目前在你的倉庫中的產品數量顯示在屏幕底部的菜單中。
  13. In complicated with changing irregularly frequent market activity, it makes policy to be demand scientific basis, the getting involved of the warehouse technology of the data has solved the difficulties that are faced in traditional analysis ? ? analysed work load heavy, analysed finally lag behind, unable to go on and analyse, not unable to carry on complicated analysis, unable to offer key the solution, lack weighing apparatus quantized fix indexeses according to commercial habits

    在復雜和變幻頻繁的市場活動中，決策更加需求科學的依據，數據倉庫技術的介入解決了傳統分析中的所面臨的困難分析工作量大、分析結果滯后、無法按照商業習慣進行分析、無法進行復雜的分析、無法提供關鍵問題的解決方案、缺乏量化的衡定指標等。
  14. The rise and development of data mining technology and data warehouse solution provides the practical application academic gist and technological support, and brings new turning point to the synthetic application of waybill information at the same time

    數據挖掘技術與數據倉庫解決方案的興起與迅速發展，為海量數據的實際應用提供了理論依據與技術支持，為貨票信息的綜合應用帶來了新的契機。
  15. From the point of railway modernization management we can use mathematical method to mine useful information from magnanimity waybill data and develop waybill information synthetic application system which serves for the transportation management and decision - making by applying data mining technology and consulting data warehouse solution

    從鐵路現代化運營的角度來看，可以應用數據挖掘技術，參照數據倉庫解決方案，對貨票系統長期積累的海量數據用數學方法進行挖掘，將數據處理的重點從傳統的業務處理擴展到對運輸數據的聯機分析處理，建造以數據挖掘技術為核心的決策支持系統? ?貨票信息綜合應用系統，為運輸管理和決策服務。
  16. Targeting with the problems existing in safety management of railway track maintenance, and taking the safety management of guangzhou - shenzhen railway track maintenance as the object, the essay expounds the integration plan of railway track maintenance safety information based on data warehouse, which could integrating the large quantity of data created during the process of safety management of railway track maintenance, and realizing share of information resource

    摘要針對鐵路工務安全管理存在的問題，以廣深線工務安全管理為分析對象，提出基於數據倉庫的工務安全信息集成方案，整合工務安全管理過程中形成的海量數據，實現信息資源共享。
  17. Further more, the thesis is based on the customer ' s accounts of the mianyang filiale, china unicom which is idle long time but it includes many information that is worth, just as the time, the frequency to talk of the customer. from this thesis we further understand the action of the customer and we do our plan surely, provide service abundant and then it benefits our company better

    更重要的是，本文通過對現有資源的整合、數據分析技術的引入、數據倉庫及crm的研究，有效利用了中國聯通綿陽分公司在電信業務運營的過程中積累的大量的用戶話單。長期以來，這些反映了用戶通話的時間、時長和頻率等重要信息的話單處于閑置狀態。
  18. With the application background of the development of pbc dalian branch " disposal information s ervice system ", the decision supporting subsystem of dalian international cooperating group information system and china life insurance company dalian branch " estimate and planning of market the decision supporting system ", paper applies itself to resolve the above conflict and problem, in order to enhance the self - adaptive of dw system, to implement integration optimization within dw and measure the users compatibility, and to get a self - adaptive dw system. during the process, it uses dw technology, dw quality, corba structure and agent technology. the content is below : ( 1 ) in order to decrease the development cost, to improve the multiplexing of components and to realize load balance and distributional calculation in larger range, paper studies and realizes the self - adaptive architecture of dw with the corba technology, agent technology and java programming language. as a result, the dw architecture get the ability of initiative, permanence and intelligence

    鑒於此，本文以數據倉庫系統面臨的問題與矛盾為研究背景，以中國人民銀行大連資金清算中心清分信息服務系統、大連國際合作集團決策支持系統、中國人壽保險公司大連分公司營銷決策支持系統評估與規劃等三個項目為應用背景，以強化數據倉庫系統的自適應性、在數據倉庫系統中進行聚集優化和度量數據倉庫用戶適用度，得到一個自適應的數據倉庫系統為目的，利用數據倉庫技術、數據倉庫質量、 corba結構以及agent技術，重點研究了以下內容： （ 1 ）為達到降低軟體系統開發成本、提高組件重用性、在較大范圍內實現平衡負載與分佈運算的目的，賦予數據倉庫體系結構主動性、持久性、智能性的能力，本文利用corba技術、 agent技術與java編程語言，研究並實現了數據倉庫自適應體系結構。
  19. 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。
  20. The extraction of large - volume data from warehouse data sources is an important issue in any data warehousing project

    從倉庫數據源提取大量數據是所有數據倉庫項目中的一個重要問題。
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