聯機分析挖掘 的英文怎麼說

中文拼音 [liánjīfēnxīwājué]
聯機分析挖掘 英文
on-line analytical mining, olam
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 機 : machineengine
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 挖 : 動詞（用工具或手從物體的表面向里掘取） dig; excavate; scoop
  • 掘 : 動詞（刨; 挖） dig
  • 挖掘 : excavate; unearth; dig; tap; grub; hoe; grave
  1. 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。
  2. The author have studied data warehouse and olap and data mining, then discussed the relevant concepts, development status, system structure and implementation in details ; meanwhile, through studying the data model of university enrollment examination, integrating with data obtaining technology, multidimensional modeling technology and olap in data warehouse, designed a data mart of university enrollment examination and thus developed a data analyzing system of university enrollment examination based on model supporting decision and olap and data mining

    本論文對數據倉庫、聯機分析處理和數據挖掘技術進行了研究，並詳細介紹了有關的概念、發展狀況、體系結構和實現手段；同時，通過對普通高校招生考試的數據模型進行研究，結合數據倉庫中的數據獲取技術、多維建模技術設計了一個以普通高校招生考試數據分析為主題的數據集市，並在此基礎上綜合運用聯機分析處理技術、數據挖掘技術和模型輔助決策技術實現了一個招生考試數據分析系統。
  3. By the study on the subject, we realize the data management of the logistics distribution center. it realizes not only the stocking, sales and storage management but also decision aids. the system of decision aids is the ideal one for the software development for management

    不僅實現了基本的進銷存管理，還在此基礎上創建了數據倉庫，進行聯機分析處理和數據挖掘，達到了輔助決策的目的，計算機輔助決策是未來管理軟體的發展方向。
  4. Using online analytical processing and data mining, provides a flatform with full aspect and deep hierarchy

    在此數據集合中，以聯機分析處理、數據挖掘等數據分析技術，為醫藥經銷企業提供全方面、深層次的數據展現平臺。
  5. The paper, in order to support for alteration of enterprise data analysis requirements, provides a kind of adaptive online analysis processing and data mining model ( abbreviated dolam ), its logic structure, system frame and physical structure are presented, which enhances hominine direction and controlling mechanism, embodying in such aspects as query - driven, fuzzy data mining and dynamic interactive ability etc. the paper offers design and implementation blue print of the core of dolam - - data warehouse management tool, olap tool and summarysql tool, now, they are running in dalian international cooperation ( group ) stock ltd and have gained good effect

    四、決策敏捷依賴于dss的柔性，為增強dss的柔性，本文提出一種具有可適應的聯機分析挖掘模型dolam ，設計了它的邏輯結構、體系結構和物理實現結構。該模型加強了人的導向和控制機制，體現在查詢驅動、模糊挖掘、動態交互方面。本文給出了dolam的核心部分?數據倉庫管理工具、 olap工具、 summarysql模糊查詢挖掘工具的具體設計和實現方案，並運用它于大連國際合作（集團）股份有限公司的決策支持實踐中，取得了較好的應用效果。
  6. First of all, the data system in the article is discussed and the goal function used to optimize the agricultural structure and the inhabitable condition are offered. then according to the characteristic of agricultural data system the logical structure of data bazaar in the data warehouse in the system is designed and the program for drawing out the data for data warehouse are offered. and we use the analysis services in sql server 2000 to design the multi - dimension data volume, which laid the groundwork for the later olap and data mining, we make use of the technique of mining the association rules to discover the rules in the data which are processed in a certain extent

    本文首先探討了該系統中的數據指標體系，給出了相應的優化農業結構使用的目標函數和約束條件；然後根據農業數據的特點，設計了該系統中的數據倉庫中的數據集市的邏輯結構，給出了相應的數據倉庫數據的抽取程序；利用sqlserver2000中的analysisservices設計了數據倉庫的多維數據集，為後面的聯機分析處理和數據挖掘打好了基礎，並利用關聯規則挖掘技術，對經過一定處理之後的數據進行挖掘；最後選擇windows2000作為網路服務器、 sqlserver2000數據倉庫的服務器、利用microsoftvisualinterdev 、結合asp 、 frontpage 、 photoshop等作為系統開發平臺，設計開發基於intranet的農業結構優化決策支持系統，使得決策支持系統在intranet進一步擴展。
  7. 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。
  8. Data query and analysis focuses on on line analytical processing ( olap ) and data mining ( dm )

    數據查詢分析則主要採用聯機分析處理（ olap ）和數據挖掘的方法。
  9. It links the features of hao liang he cement co. ltd and set an example as how data warehouse applies to sales profit aims and dss. it brings out a solution to dss according to data warehouse technology, in the same time states design and process of data warehouse system, discusses how to realize data analyses of data warehouse system through online management and number - digging skills. and it demonstrates the necessary and possibility of dss system in hao liang he co. ltd. the thesis offers a reference of other cement enterprises

    本文以黑龍江省信息產業廳專項基金課題? ?水泥企業通用型mis軟體的研發與應用為背景，結合浩良河水泥有限責任公司水泥生產的特點，以數據倉庫技術如何應用於銷售決策支持系統為例，提出了一個基於數據倉庫技術的決策支持系統的解決方案，著重論述了數據倉庫系統的設計方法和步驟，探討了如何通過聯機分析處理和數據挖掘技術實現數據倉庫系統的數據分析，論證了在浩良河水泥有限責任公司管理信息系統中建立基於數據倉庫技術的決策支持系統的必要性和可行性。
  10. On the basis of diesel engine ' s fault modules, the mining of knowledge rules about diagnosis of diesel engine are outlined in detail, including simple knowledge rules mining, cluster analysis and association rules mining

    本文在分析柴油機的各種故障模式的基礎上，詳細分析了柴油機故障診斷規則的挖掘，包括採用常用油液分析方法的簡單規則挖掘、聚類分析挖掘及關聯規則挖掘。
  11. Data warehouse ( dw ), on line analytical and process ( olap ) and data mining ( dm ), as the new information processing technology rising in recent years, are playing a more and more important role in offering more high - level information service

    數據倉庫（ dw ） 、聯機分析處理（ olap ）和數據挖掘（ dm ）是近年來興起的新的信息處理技術，它在提供更高層次的信息服務方面發揮著越來越重要的作用。
  12. Traditional operational management information system can no longer meet the needs of companies. the concept of business intelligence ( bi ), which is technically supported by data warehousing ( dw ), online analytical processing ( olap ) and data mining ( dm ), is widely recognized by companies

    傳統的操作型信息管理系統已經難以滿足企業的需求，由數據倉庫、聯機分析處理和數據挖掘三大技術支撐的商務智能（ businessintelligence ， bi ）給企業帶來了希望。
  13. On the basis of researching the theories and analyzing the operation of chain store, this paper brings forward a solution of dw for the chain store distribution decision support system ( csd - dss ). before building dw for csd - dss, this - paper first analyzes data in existing mis of chain store and operation of distribution in depth

    在研究數據倉庫技術理論的基礎上，結合連鎖超市企業的具體業務，本文給出了連鎖超市配送決策支持系統的一種數據倉庫解決方案，構建了面向連鎖超市配送決策的數據倉庫，並探討運用聯機分析處理和數據挖掘的手段進行數據查詢分析，為配送提供決策支持的方法。
  14. Market manager can be supported from mdss. mdss is result in application of data warehouse, online - analysis - process and data mining in marketing system after full study on characteristic of the market

    Mdss在分析商場營銷系統及其特點的基礎上，綜合應用了數據倉庫、聯機分析和數據挖掘技術，建立了數據倉庫的主題、元數據和olap 、數據挖掘模型。
  15. Onlline ana1ytical processing is a multi - dimension analysis tool, it can provide data logistic view witb multiple lay and multiple angle, date mining is a decision support procedtire of feding mode in data collection, it is a concrete application in mature tecboque just as aitificial intelligence and statistics. this article focuses on ouline analytical processing and data mtheng of the data in electric power production enterprise, in this paper, detailed introduction and analyzing of online analytical processing

    聯機分析處理是一種多維分析工具，可提供數據多層面、多角度的邏輯視圖，數據挖掘是在數據集合中尋找模式的決策支持過程，是現有的人工智慧、統計學等成熟技術在特定系統中具體的應用。
  16. Olap ( on - line analysis processing ) and data mining are two essential technique

    聯機分析與數據挖掘是數據倉庫中的兩種關鍵技術。
  17. Online analytical processing and data dring are hot spots of research in the domain of dataase and anficial intelligence recently, aller analyzing and processing a lnye arnoun of data, useful information and knowledge in those data can be obtalned to meet the demand of people ' s increasing desire for knowledge

    聯機分析處理與數據挖掘是當前數據庫領域與人工智慧領域研究的熱點，它們通過對大量數據進行分析與處理，得到隱含在數據後面的有用的信息和知識，滿足人們日益增長的對知識的需求。
  18. Microsoft analysis service is a microsoft ' s middle layer server of olap and data mining

    Microsoftanalysisservice是微軟的聯機分析處理（ olap ）和數據挖掘的中間層服務器。
  19. So we bring forward the method of on - line analysis mining ( olam ) based on trst, with which users can take part in the process of the mining and dynamically decide the objects and the task of mining

    由此，提出了基於容錯粗集理論的聯機分析挖掘技術的理論，使得用戶在挖掘的過程中，動態地提出挖掘的對象和要求，系統不斷地調整挖掘演算法，實施再挖掘。
  20. Dr. cao jiguang extends the concept of olam and richens the meaning of olam ( on line analytical mining ). olam is an approach that integrates data mining, data warehousing and olap technologies. metadata is the core of the olam system, so a centralized and declarative management of metadata is essential for data warehouse administration, maintenance and usage

    浙江大學曹薊光博士在此基礎上對olam的概念進行了擴展，對olam的內涵進行了深化，把olam定義為聯機分析挖掘處理（ onlineanalyticalminingprocessing ） ，實現對olap技術和數據挖掘技術的緊密集成。
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