文檔圖象處理 的英文怎麼說

中文拼音 [wéndàngtúxiàngchǔlǐ]
文檔圖象處理 英文
document image processing
  • 文 : Ⅰ名詞1 （字） character; script; writing 2 （文字） language 3 （文章） literary composition; wri...
  • 檔 : Ⅰ名詞1 （帶格子的架子或櫥） shelves （for files）; pigeonholes 2 （檔案） files; archives 3 （器...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 處 : 處名詞1 （地方） place 2 （方面; 某一點） part; point 3 （機關或機關里一個部門） department; offi...
  • 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...
  • 文檔 : certs
  1. 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。
  2. Firstly, seismic exploring databases are the base of the management, so a detail description is provided which some databases achieved in the past ninth five - year plan must be imported and surface layer database are built newly instead of traditional mode of recording and storing the data. secondly, according to the idea of gis ( geographic information system ), some query and display techniques are discussed, for example, the technique of visualizing user interface, the technique of controlling the order of a map, and the technique of searching for the database based on a seismic line

    從技術發展的角度看，盡管通過技術革新和技術改造，地震勘探野外採集採取了許多技術措施，例如，新的施工工藝，高性能的採集儀器，現場處理控制等，但目前的野外生產管理仍有沿用幾十年來傳統的管理方式的現象，採用傳統的文檔、圖紙，手工錄入這種管理方式，主觀性、隨意性較強，信息化程度低，管理水平不高，大量的時間被浪費在數據、資料的管理和查找上，由於沒有較好的技術手段，缺乏科學性。
  3. This tutorial is for those interested in automating the process of creating, editing, and submitting a google sitemap using a cms with php. this tutorial assumes familiarity with basic php concepts, including loops and if - then statements, form handling, accessing a database, and the document object model

    本教程適合於有興趣使用php cms進行自動創建、編輯並提交google站點地圖的開發人員，且假設您熟悉基本php概念，包括loops和if - then語句、表單處理、數據庫訪問和文檔對象模型（ dom ） 。
  4. Documents are the objects of information process and the foundation of document model is the base of information process such as feature extraction, document filtration and so on. the representation of domain model by using the topic concepts and the key words emphasizes the domain oriented feature of information service, so it can realize the personalization, intelligence of the information service system. user model embodies user interests and intention

    文檔是信息處理的對象，文檔模型的建立是特徵提取、文檔過濾等智能信息處理的基礎；利用主題概念及其關鍵詞表達領域模型，使得信息服務突出了面向領域的特徵，可以更好地實現信息服務的個性化、智能化；用戶模型則體現用戶的興趣和意圖，用於用戶興趣的表達和挖掘。
  5. Document analysis and chinese character segmentation are two important parts of ocr system. the former segments the document image into several parts and distinguishes the parts text, image, drawing or table etc. we call them the parts blocks. the blocks got by document analysis will be different treated

    版面分析與字元切分是ocr系統的兩個重要組成部分，前者是將文檔圖象按一定特徵分割成文本、圖象、圖形或表格等版面基元，各個基元在後續處理中將採用不同處理方法。
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