data warehouse and olap 中文意思是什麼

data warehouse and olap 解釋
數據倉庫技術與聯機分析處理
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  • warehouse : n 1 倉庫，貨棧。2 批發莊；大零售店。3 〈美，貶〉「福利庫」〈指收容精神病患者、老人、貧困者等的大...
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  1. Both as the important applicative techniques of data warehouse, olap and data mining have notable differences. olap offers user a view of all angles in order to study the data deeply ; however, data mining analyzes the collecting data automatically, makes the including ratiocination and then helps the decision maker to adjust the strategy and to reduce the risk and gain the correct decision

    Olap和數據挖掘技術作為數據倉庫的兩項重要應用技術有所不同： olap技術可以為用戶提供多角度、快速、直觀的視圖，以便深入觀察數據；而數據挖掘技術高度自動化地分析企業收集的數據，做出歸納性的推理，從而幫助決策者調整策略，減少風險，做出正確的決策。
  2. Multidimensional data model is an important problem in the field of data warehouse and olap

    摘要多維數據模型是數據倉庫和聯機分析處理中的一個重要環節。
  3. The paper introduced the technologies, developing steps, skill points and implement methods based on data warehouse and olap according to taking part in analysis - type crm in insurance industry

    論文分別介紹了數據倉庫和聯機分析處理的概念與特點，並對企業信息門戶和多層開發模式的優點進行了簡要分析。
  4. 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。
  5. During the last a few decades, the application of data warehouse and olap ( on - line analytical processing ) provided a better solution to the data explosion problem of the database field. data warehouse, instead a ready - made product ava ilable, is a method

    近十年來，數據倉庫和基於數據倉庫的olap （ on - lineanalyticalprocessing ） ，聯機分析處理）應用技術的出現，為數據庫領域解決信息爆炸問題提供了很好的途徑。
  6. It discuss how do we implement the decision - making support system by using data warehouse in the electronic government and deeply introduces the problem and the related technology when build the decision - making support system. this paper also studies the role of data warehouse and olap in the in the decision - making system. finally it introduces that all aspects of the web service technology backgrounds and displays applications of this technology in the data - transformation and client module. then discusses the advantage and disadvantage of the web service technology in this system

    本文以中國出口綜合評價體系的建立和研究為基礎，首先介紹了與此項目相關的技術背景和實施必要基礎；然後介紹了基於ctpi的外貿業務分析決策系統的研製開發，給出基於數據倉庫的外貿業務分析決策系統的體系結構，並介紹了系統各部分功能；討論了在電子政務的建設中如何利用數據倉庫來實施決策支持系統，詳細介紹了本系統在實施決策支持過程中遇到了問題及所採用的相應的技術手段，研究了數據倉庫、聯機分析處理在對外貿業務分析決策系統中的應用；最後介紹了webservice技術背景的各個方面，以及該技術在本系統的數據轉移和客戶端模塊中的應用，並分析了webservice技術在本系統實現過程的利弊。
  7. 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。
  8. 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。
  9. 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。
  10. The paper firstly discribes data warehouse technology, and doerms it necessary to design data warehouse in the library circulation system, and with an actual example analyses the design process of the data warehouse in library circulation system, so actualizes the application of data warehouse technology in the library, and displays the olap result through a example

    摘要本文首先闡述了數據倉庫的思想，並討論了圖書館流通系統建立數據倉庫的必要性，接著通過具體的例子分析了圖書館流通系統數據倉庫的設計過程，從而實現數據倉庫技術在圖書館流通系統中的應用，並通過具體的實例展示對流通系統數據倉庫進行聯機分析的結果。
  11. Data warehouse is a data management system of analyzing, exploiting and synthesizing data as well as a data assembly supporting the process of decision, which provides the decisive support for the related sectors by olap ( on line analytical processing )

    數據倉庫（ datawarehouse ）是一個支持決策過程的數據集合，也是分析利用綜合數據的數據管理系統，它通過olap （ onlineanalyticalprocessing ）為有關部門提供決策支持。
  12. To sum up, the above - mentioned data base technology and data warehouse technology regard as dss whole foundation of solution, data mining with on - line extension technology and data technology come and support, namely based on db + dw + olap + dm of best feasible scheme comprehensive to have at present

    並討論了，各種方案之間的利弊得失。綜上，以上數據庫技術和數據倉庫技術作為決策支持系統整體解決方案的基礎，並以聯機分機技術和數據挖掘技術來支持，即基於db + dw + olap + dm的決策支持系統是目前最佳的可行方案。
  13. The main content of this paper includes the following aspects : on the basis of discussing the necessity of implementing crm in china ' s air cargo industry, this paper firstly designs and builds the air cargo analytical crm data warehouse and realizes olap analysis on it. then, this paper segments the air cargo customers and derives the formulas of calculating customer life cycle value ( clv ). finally, this paper analyzes air cargo customer group characteristics and customers " service demand by using data mining algorithms of attribute - oriented induction and association rule

    本文主要做了以下幾方面的研究工作：一是討論了航空貨運未來的發展與客戶關系管理的關系；二是設計並構建了航空貨運分析型crm數據倉庫，並在其上實現了多維分析；三是進行了航空貨運客戶細分並推導了計算航空貨運客戶生命周期價值的公式；四是應用了面向屬性的歸納和關聯規則等數據挖掘演算法進行了航空貨運客戶群特徵分析和貨主服務需求分析。
  14. In this thesis we mainly deal with the research on the performance optimization of data warehouse, including : the factor of the data warehouse performance, the performance optimization of data warehouse, the analysis and performance optimization of olap, at last, we use a example in the electric power system to show the practical application of ihe performance optimization in the data warehouse system

    基於對聯機分析處理系統olap的分析，研究了提高系統執行效率和響應速度的方法，並實現了一個數據倉庫性能優化的實例。論文的內容主要包括：影響數據倉庫性能的因素、數據倉庫的性能優化、 olap的性能分析和優化，對常用的星型模式和雪花模式提出了一種改進方案，論文的最後實現了一個用電負荷分析數據倉庫性能優化的應用實例。
  15. Basing on the three levels ’ data processing, a new way to manage the fuzzy data is put forward. in this mentioned way, which can be used for reference in future linguistic application in data warehouse, a query column is added to realize the function of fuzzy olap and fuzzy query

    在完成三層數據加工的基礎上，論文提出在數據倉庫內部通過建立和完善模糊數據元數據實現對品質層和程度層模糊數據的管理，通過定義查詢值列實現模糊olap和模糊查詢應用，為今後語義技術在數據倉庫中的應用提供了借鑒。
  16. Bis composed of three subsystem : rtfs ( routine transaction processing system ), dwms ( data warehouse management system ), dwcs ( data warehouse client system ). this paper detailed demonstrate the extract of data from data source, loading data into dw ( data warehouse ), the creating and management of data source, dimension and cube of dw, and implementing of data mining and olap

    對數據從數據源提取、加載進入數據倉庫、數據倉庫數據源、維、立方體的創建和管理、數據挖掘及olap的實施等進行了詳細的說明。
  17. Made use of microsoft sql server 2000 analysis services for olap and datamining and the creation of multidimensional datasets by data warehouse, and used olap technology for multidimensional data analysis and datamining

    提出了使用microsoftsqlserver2000analysisservices進行olap與數據挖掘，並對數據倉庫數據創建多維數據集，運用olap技術進行多維數據分析和數據挖掘。
  18. 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。
  19. Then, compares the difference and relationship of data warehouse and relation database, discusses the data warehouse design of customer relationship management system, and analyzes data by on - line analytical processing ( olap )

    數據倉庫應用部分，則重點比較了數據倉庫與關系數據庫的區別與聯系的問題，討論了如何設計客戶關系管理系統的數據倉庫，以及使用聯機分析技術進行數據分析。
  20. This article is divided into five sectors. the first is the studying content, background and signification of this research ; the second is about decision support system technology, including basic patterns and structure ; also discusses the correlative technology about decision support system : data warehouse and olap ( online analysis process ) etc ; the third segment talks about the system ' s demand analysis. through detail analysis, we have extracted business model and built some important use cases, which limit the system ' s boundary ; the forth is the emphasis of this article, refers to the system ' s detailed design and have drawn out the total structure charts of system, in this sector we especially talks about the design of model - base and database ; the next one discusses the complete implement of the total system ; at last the prospect of the research is mentioned

    第一部分主要說明了論文研究的背景、研究的方法、內容以及研究的意義；第二部分主要介紹了決策支持系統技術本身，包括系統的基本模式和基本結構，以及和它相關的技術，比如數據倉庫、聯機分析處理等等；第三部分是對高校創新性人才決策評價系統的需求分析，採用面向對象分析方法，抽取業務模型，建立關鍵用例，界定系統的開發范圍；第四部分對系統進行詳細設計，首先從總體上設計出系統的體系框架以及網路連接圖，接下來對系統中較為重要的部分：模型庫、數據庫和人機界面的詳細設計工作；第五部分講述系統的具體代碼實現，詳細的介紹了系統主要組件的具體實現細節；最後對本文研究的問題進行了總結並提出了研究的前景和今後研究工作的重點內容。
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