挖掘作用 的英文怎麼說

中文拼音 [wājuézuòyòng]
挖掘作用 英文
digging action
  • 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
  • 用 : Ⅰ動詞1 （使用） use; employ; apply 2 （多用於否定: 需要） need 3 （敬辭: 吃; 喝） eat; drink Ⅱ名...
  • 挖掘 : excavate; unearth; dig; tap; grub; hoe; grave
  1. The potential values of cereal crops may be excavated by multiplying the chromosomes

    通過多倍化途徑有可能進一步挖掘禾穀類作物的潛在利用價值。
  2. By applying the th model theory to analyzing the cases of developed countries that mentioned in chapter 4, chapter 6 finds out the block gene and tendon compages that consists of the university - government - industry th. furthermore, it gives the pheno - types as some external expressions of the genotypes and the family - tree diagram constituted by these phenotypes. after a transition, it illuminates the scientometric, the webometric and the triple helix algorithm and their application

    第六章運用th模型理論對第四章提供的案例挖掘梳理后，發現並給出了：構成大學?政府?產業三重螺旋體的完整板塊配基和鍵鏈組合，作為「基因型」外在表達的一些「現象型」屬類以及由它們所構成的圖式譜系。
  3. Through the comparision with german compulsory measure, this artide analyzes the meaning 、 function and role, and hopes to study its nature from the angles of power and function

    文章通過對德國強制措施的比較研究，來分析強制措施的含義、功能和作用，從權利和功能兩個角度探求其性質，希冀能挖掘其本質所在。
  4. At first, it will discuss the conditions and trend of current network optimization technology and pay much attention to the call quality test, then discuss the data mining algorithms and practical application forms, finally, integrated the algorithms and application forms, discussed how to apply data mining technology to network optimization and the steps to apply data mining in network optimization call quality test system base on the requirement of customer and pay much attention to the function of data mining technology in the system, the design detail of the data mining algorithms and the application result

    文中首先討論網路優化的現狀和發展並重點討論網路優化cqt測試的方法和流程，然後討論數據挖掘的各演算法和實際應用形式，最後將兩者結合，研究如何將數據挖掘應用到網路優化中，並根據客戶對網路優化cqt系統智能化的需求，討論具有數據挖掘功能的網路優化cqt系統的需求、設計和具體實現。在整個cqt系統的討論中，重點討論數據挖掘在cqt系統中的作用、具體演算法設計和應用結果。
  5. The great lakes basins were excavated by the ice, and many present landforms are the result of this continental glaciation.

    五大湖盆地都是冰挖掘出來的，如今許多現有地形都是這種大陸冰川作用的結果。
  6. 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。
  7. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找等方面，所做的工作和取得的創新成果體現在以下三個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  8. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找，在線相似性查找以及最終的分析應用系統開發等方面，所做的工作和取得的創新成果體現在以下五個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  9. With the reform of our country ' s basic education, people pay more attention to it. because of the influence of the traditional, one - off and terminative pedagogic education, the school - based in - service training needs deeply theory research and systemic practice operation. the school - based in - service training which is for the service of teachers professional development, is trying to combine this form of training and teachers professional development together so as to let the training system right under the service of teachers professional development

    面向教師專業發展的校本培訓試圖將校本培訓的形式與教師專業發展有機結合，使校本培訓直接服務于教師專業發展，它並不否定大學或其他師資培訓機構的作用，而是倡導充分發揮學校自身在師資培訓方面的職能，挖掘學校的內在資源，調動教師的積極性，使教師在職培訓朝著能夠隨時隨地在每個教師所需的時刻、以最好的方式提供必要的知識和技能這一目標邁進。
  10. During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,

    Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面：實現了基於用戶興趣的用戶模型，該模型通過與用戶的交互（主動交互和被動交互） ，不斷地接收用戶的興趣和推測用戶的興趣，積累用戶信息需求的偏好，實現自適應的檢索；提供了一種基於人機交互的反饋方法，對用戶在結果呈現界面上的操作進行了歸納總結，設計了用戶操作捕獲演算法， 「隱性地」學習用戶興趣和偏好的變化；提供了一種用戶需求挖掘的方法，對用戶已確定的信息做進一步的主題挖掘，由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣；在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案，該方案以用戶興趣模型為中心，以機器學習（主動學習和被動學習）和數據挖掘為手段，輔以網路機器人，具有很強的可行性和實用性。
  11. 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。
  12. The causes of devolution, desertation, salinization and solonization were analysed in two aspects : it is apparently due to overpopulation, overstocking, unreasonably using, lacking of new technique, frequent occurrence of nature disaster, small area and low output of artificial pasture and semi - artificial pasture, but the more deeply reason was that the function of grassland was not completely understood only emphasizing the economic efficiency and regrowthful resource in grassland while the ecological efficiency and its potential use were neglected

    本文主要從兩方面對草原三化進行了分析，首先從表面上看有以下幾方面原因，人口多、牲畜數量多、草原利用不合理、新技術推廣差、草原自然災害頻繁、人工半人工草地少產量低。其次又挖掘了草原退化的深層原因，第一對草原資源的功能和作用的認識具有片面性，只重視草原的經濟效益，卻忽略了它的生態效益；只重視草原資源的再生性，卻忽略了它的適宜可利用性。
  13. The same backfilling materials should be used unless otherwise agreed with the electricity supplier. if in doubt, the contractor must seek advice from clp or hec on the specific requirements for backfilling of excavation including the thickness of the bedding layer, type of materials to be used and method of compaction, etc

    承建商如有任何疑問，必須就完成挖掘后進行回填工作的特定規格，包括墊層厚度、使用物料的種類及壓縮方法等資料，徵詢中華電力有限公司（中電）或香港電燈有限公司（港燈）的意見。
  14. He said an engineer was digging up bogland last week to create commercial potting soil somewhere in ireland ' s midlands when, " just beyond the bucket of his bulldozer, he spotted something.

    他說上周一個工人為了製作商用陶土，用挖土機挖掘愛爾蘭中部的一個泥塘，結果在鏟斗前看見了一個東西。
  15. Therefore, the author established a intellectualized exhumation system basing on classification id3 decision - making tree arithmetic, and provided a valuable example for developing other data exhumation applying system

    因此，基於分類id3決策樹演算法，作者建立了一個智能挖掘體系，並為開發其它數據挖掘應用系統提供了一個有價值的實例。
  16. A popular solution toimprove the speed and scalability of the association rule mining is todo the algorithm on a random sample instead of the entire database. buthow to effectively define and efficiently estimate the degree of errorwith respect to the outcome of the algorithm, and how to determine the samplesize needed are entangling researches until now. in this paper, an effective and efficient algorithm is given based on the pac probably approximate correct learning theory to measure and estimatesample error

    關聯規則挖掘作為數據挖掘的核心任務之一，由於其任務本身的復雜性通常需要多次整個掃描數據庫才能完成挖掘任務且頻繁模式可能產生組合爆炸，使得從原始的大規模數據集上抽取一部分樣本，在其上尋找用戶感興趣的近似規則成為目前提高演算法效率和可擴展性的一種簡單有效的現實可行方法之一。
  17. As the result of artifical intelligence, databases and statistics, the aim of data mining is to find some meaningful patterns from a lot of data. data mining has great application value

    數據挖掘作為人工智慧、數據庫和統計理論結合的產物，其目的就是要從大量數據中找出有意義的模式，因此具有廣泛的應用價值。
  18. Recently, date mining technology based on web has abstract the interest of many researchers. possession of lower data is the precondition of mining higher knowledge, and net information retrieval technique has become the urgent issue of date mining technology based on web, so the paper explore the research of it and focus on the information retrieval based on web. with the expectation of a intelligent information retrieval system, which can catch the interests of customers with good precision and capability, we give deep research to some of the information retrieval technique

    近幾年來， web數據挖掘技術引起了研究人員的關注，低層信息的佔有是發掘高層知識的前提，網路信息檢索技術便成為目前web數據挖掘的一個迫切需要深入研究的問題，因此，本文選擇web數據挖掘作為研究對象，重點研究的是基於web的信息檢索技術，對其中的一些相關內容進行了深入研究，旨在研究設計一種性能較好、能捕捉用戶興趣、提高精度的智能信息檢索系統，更好的滿足用戶的需要。
  19. As a critical application of kdd ( knowledge discovery in database ), data mining is more and more widely used

    數據挖掘作為知識發現過程關鍵技術，已逐步得到廣泛應用。分類是數據挖掘及crm的重要組成部分。
  20. Xml will bring great superiority to web searching and mining as a data expressing forms

    Xml作為一種數據表示的形式對web上的數據檢索和挖掘應用將帶來巨大的優勢。
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