挖掘速度 的英文怎麼說

中文拼音 [wājuésùdù]
挖掘速度 英文
digging speed
  • 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
  • 速 : Ⅰ形容詞（迅速; 快） fast; rapid; quick; speedy Ⅱ名詞1 （速度） speed; velocity 2 （姓氏） a surna...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 挖掘 : excavate; unearth; dig; tap; grub; hoe; grave
  • 速度 : 1. [物理學] velocity; speed; blast; bat 2. [音樂] tempo3. （快慢的程度） speed; rate; pace; tempo
  1. A petrel does not dig a burrow where it does because of the average temperature or wind speed on the island but because of how warm or windy it is at that particular spot

    海燕並不會由島上的平均溫度或風速，來決定應該在哪裡挖掘洞穴，而是根據特定地點的暖度與風速而定。
  2. 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。
  3. The article discusses institutional planning of employment on the basis of planning urban - rural labour force as a whole, chiefly including three aspects : ( 1 ) innovating the rural and agricultural institutions, exerting deeply potential employment capability of rural area and agriculture, and widening employment channels ; ( 2 ) cleaning up all sorts of institutional obstacles, setting up step by step employment institution of urban - rural integration, fastening the pace of rural redundant labour force entering the city ; ( 3 ) fastening the pace of urbanization development, building up capability of absorbing labor force, increasing capacity of farmers obtaining employment as townspeople

    摘要探討了統籌城鄉勞動力就業制度安排問題，主要包括三個方面： （ 1 ）創新農村和農業內部制度，挖掘農村和農業的就業潛力，拓寬農民就地轉移和就業渠道； （ 2 ）破除各種體制障礙，逐步建立城鄉統一的勞動力就業體制，加快農村剩餘勞動力的進城轉移就業速度； （ 3 ）加快城市化發展步伐，增強吸納勞動力就業能力，提高農民市民化就業的容量。
  4. According to the army operational readiness training management stipulation and the present standard, the unified subject design, the unification ascend the statistical system, the unification analysis examination and approval principle, the strict all levels of jurisdiction, facilitates each kind of information gathering, at the same time adapts the different user object information need ; depends on the army local area network, the armed forces net, realizes, between horizontally the vertical units to operation and so on data long - distance input, inquiry, report form, printing, achieves internal information true sharing ; the strict internal supervising and managing system, strengthens the information management, promptly realizes internal data automatically to report, the higher authority department can to report the information to carry on compiles, the merge and the analysis, promptly grasps each kind of resources for the correlation leader the memory, the assignment, the

    根據部隊戰備訓練管理規定和現行標準，統一科目設計、統一登統計制度、統一分析審批原則、嚴格各級權限，方便各種信息採集，同時適應不同用戶對象的信息需求;依託部隊局域網、軍網，實現橫、縱向單位間對數據的遠程錄入、查詢、報表、列印等操作，達到內部信息的真正共享;嚴格內部監管制度，強化信息管理，實現內部數據的及時自動上報，上級部門能對上報信息進行匯總、合併與分析，為相關領導及時掌握各種資源的存儲、分配、使用狀況提供依據，全面提高部隊作戰、戰備、訓練和保障的應變能力;加強對新舊數據、橫縱向數據的管理，全面分析和挖掘數據間的聯系，充分利用數據的潛在價值，為資源管理者提供快速有效的決策支持。
  5. During searching the topic - relevant web pages, immediate reward is used as evaluation criterion for exploitation to speedup mining information. while searching the transitional web pages, future reward is used as evaluation criterion for exploration to speedup locating

    在與主題相關的網頁集群中進行搜索時，使用立即回報加速挖掘的進度；在過渡型的網頁集群中使用未來回報拓寬探測的范圍以加快定位過程。
  6. Abstract : the application of smoothwall blasting in crushed surrounding rock of no. 2 tunnel with crushed surrounding rock has obtained more satisfactory results through selecting rational blasting parameters, adopting right supporting method and controlling the overbreak or underbreak of the tunnel effectively, etc

    文摘:在周家山2號隧道破碎圍巖施工中，應用光面爆破技術，通過選擇合理的爆破參數，正確的支護施工方法，有效地控制隧道的超欠挖，加快掘進速度，取得了較理想的效果。
  7. The application of smoothwall blasting in crushed surrounding rock of no. 2 tunnel with crushed surrounding rock has obtained more satisfactory results through selecting rational blasting parameters, adopting right supporting method and controlling the overbreak or underbreak of the tunnel effectively, etc

    在周家山2號隧道破碎圍巖施工中，應用光面爆破技術，通過選擇合理的爆破參數，正確的支護施工方法，有效地控制隧道的超欠挖，加快掘進速度，取得了較理想的效果。
  8. In order to adapt this request, the constructing of data mining commercial application platform devotes in forming multi - strategy, broad availability data mining commercial application platform. therefore, the enterprise can carry on effective analysis with daily behavior data conveniently, and then makes accurate decisions according to the enterprise actual commercial logic and the knowledge that discovered in the data

    為此我們構建了數據挖掘商業應用平臺，致力於形成一個多策略的、有效度廣的數據挖掘商業應用系統，使得企業可以方便地對日常的行為數據進行有效的分析，並根據企業實際的商業邏輯，結合數據挖掘發現的知識，快速做出準確的決策。
  9. Those mentioned above has already been proved either in and outside our country. infact, when the machine works on the track which is mudding and hardening, especially on hardening line, rm - 80 can not give full play to it ' s productivity, and sometime the machine can not go forward with excavating chain turnning, which results in a low productivity of not more than 100 meters per hour

    在我們的生產實際中，尤其在板結地段， rm80型全斷面道碴清篩機的作業效率就不能得以充分的發揮，經常出現挖掘鏈轉不動、清篩機不前進，或者是作業效率很低，以致於每小時作業速度不足百米的情況。
  10. The delivery of logistics taken as the inssurance of chain enterprises " competitiveness and the break - through point of the third profit source ", it need " fast reaction " and " high customer satisfactions " to promote the competitiveness and benefits of enterprise, all of it needs high - efficient delivery of dogistics information system to support

    物流配送作為連鎖企業競爭力的保證和企業挖掘以物流為標志的「第三利潤源泉」的突破口，需要以「快速的配送反應」和「高客戶滿意度」來提升企業的競爭力和效益，這必須以物流配送信息系統作為支撐。
  11. An efficient algorithm qais is proposed that uses the efficient method to reduce database access activity, and present a novel algorithm aiu based on this algorithm, it is fit for mining association rules and incremental updating. it is especially effective in vldb, mining long patterns, and high support. the perfermance of qais / aiu is verified on the basis of synthetic data, experiments show that the proposed algorithm can mine association rules more efficiently by not generating candidate itemsets and reducing the redundancy of frequent itemsets while generating association rules

    然而目前大多數挖掘關聯規則的演算法往往必需多次掃描事務數據庫才能達到要求的目標，這樣重復性的數據庫存取動作將會導致過多的執行時問浪費在i o動作上，另外在頻繁集生成規則時現有的演算法沒有考慮到規則的大量冗餘，為了解決這個問題本文提出了一個不需要生成候選集同時有效的去除生成規則時產生大量冗餘的演算法qais ，來提高關聯規則生成的速度，並且在此演算法基礎上提出了新穎的關聯規則增量更新演算法aiu ，通過應用合成數據驗證了qais aiu演算法的有效性，由試驗結果來看這個方法確實能更有效且準確地獲得事務數據庫的關聯規則，尤其適合挖掘超大數據庫中高支持度下長模式的挖掘。
  12. We present a new approach to mine ooa rules using fp - growth algorithm. our experimental results show that the algorithm is more

    實驗表明，本文提出的方法相比用apriori演算法或用dfree演算法進行ooa挖掘速度更快。
  13. All present user access pattern mining tools have some shortcomings, such as slow mining speed, unsuitable anonymous users, complicated usage, inefficiency, low mobility, much mining limitation and so on

    現有的用戶訪問模式挖掘工具都存在一些缺點，如：挖掘速度慢、不適用匿名用戶、使用復雜、效率低、靈活性差、挖掘局限性大等。
  14. Taditional association rule mining methods lack of focus on the results, and the procedure is slow. those algorithms express the regularities with low level primitive data, and the mining association reules are difficult to understand

    傳統的關聯規則挖掘缺少挖掘的針對性，挖掘速度慢，挖掘結果難于理解，挖掘結果的數量巨大，需要進行大量的篩選以便抽取出有用規則。
  15. And it can find the same visiting pattern of the different interests - oriented user groups to enhance the quality recommended, by means of adjusting the number of clusters, uapomr system solve the contradiction between mining speed and nicety effectively for recommending in real - time

    通過調整聚類的個數， uapomr系統有效地解決了挖掘速度和挖掘準確性之間的矛盾，以達到在線推薦的目的。
  16. Experiments show that fpmine runs two times as fast as the most recently proposed algorithm fp - growth and saves half the memory ; moreover, our algorithm has a quite good time and space scalability with the number of transactions, and has an excellent performance in dense database mining as well ; spf has excellent time and space efficiency ; fpmine - spf algorithm has a far taster speed in association rules mining than the widely used apriori algorithm and has wonderful scalability. association rules mining always generates too many rules, which makes ii difficult to pick the valuable rules where from

    實驗表明，在相同數據集上，與fp - growth演算法相比，演算法fpmine的挖掘速度提高了一倍以上，而所需的存儲空間減少了一半；隨著數據庫規模的增大，演算法fpmine具有很好的可伸縮性；對于稠密數據集，本文演算法也具有良好的性能； spf演算法具有極好的時空效率； fpmine - spf演算法挖掘關聯規則的速度遠快于較長期以來廣泛使用的apriori演算法，並有相當好的可伸縮性。
  17. By the way this paper chooses the more effective dm algorithms by deep study in quite a few known algorithms employed in association rules, frequent episodes rules and trend analysis. to speed up producing association rule, this paper also introduces the aadd algorithm which is a upgrade algorithm from apriori

    同時本文通過對關聯規則、模式序列和趨勢分析的多種演算法的深入的分析和比較，結合網路攻擊檢測的需求，為檢測dos攻擊選擇合適有效的演算法；並為加快關聯規則挖掘速度，提出apriori演算法的改進演算法? ? aadd演算法。
  18. The purpose of performance maintenance is to improve the access velocity. in this part, the following techniques are specified : caching frequently accessed cases, partitioning the case base to limit the accessible case number for every cbr circle, and pre - fetching cases that are usually accessed together in the cbr circles

    在性能維護部分，以提高對案例庫的訪問速度為目標，本文利用數據挖掘改進了現在常用的案例庫分層演算法，並提出了對頻繁使用的案例進行緩存、以及對經常同時訪問的案例進行預取兩種方法。
  19. Mining of frequent closed itemsets greatly improve the rules mining effiency and effectivity of the resulting rules, hence release the users of the burden. we implement the frequent closeu itemsets mining algorithm fcis and the frequent closed itemsets rules mining algorithm ci _ rules. experiments diplay that compared with the latest published algorithm - the closet algorithm proposed by jiawei han, our algorithm is more than two malgtitudes faster and has fabulous scalability ; ci _ rules algorithm overtakes fpmine - spf algorithm by more than two malgtitudes and has extraordinary scalablity

    實驗表明，在相同數據集上，與已發表的最新成果? han的closet演算法相比，本文演算法fcis速度提高兩個數量級以上，並有極好的可伸縮性； ci _ rules演算法挖掘頻繁閉項集規則的運行速度較fpmine - spf演算法挖掘關聯規則的速度快兩個數量級以上，並有非凡的可伸縮性。
  20. 5. data preparation is essential procedure before data mining, and the thesis presents two algorithms for the filling of missing values and the finding of duplicates, two of data problems in data preparation. at first, the thesis uses of rough analysis to predict the missing values with known values to solve the problem of missing values, and the results are with higher accuracy ; then the thesis uses partition data table and quick sort method to find duplicates, which can decrease the searching time for finding

    數據預處理是數據挖掘之前的必要準備步驟，針對數據預處理問題中的缺失數據與重復數據的挖掘問題提出兩種演算法，首先針對缺失數據問題，浙江大學博士學位論文利用rough集理論通過對己知數據進行預測實現對缺失數據的填補，達到了一定的預測精度;然後針對重復數據問題，利用數據表分解技術以及快速排序方法實現重復數據的發現，並降低了重復數據的發現時間。
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