最後清倉 的英文怎麼說
中文拼音 [zuìhòuqīngcāng]
最後清倉
英文
final clear out- 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
- 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...
- 倉 : 名詞1. （倉房; 倉庫） storehouse; warehouse 2. （姓氏） a surname
- 最後 : last; final; ultimate
- 清倉 : make an inventory of warehouses; make an inventory of the stock in the storehouse清倉大減價 clear...
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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。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。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。
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