挖掘工具 的英文怎麼說

中文拼音 [wājuégōngjù]
挖掘工具 英文
digging tool
  • 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
  • 工 : Ⅰ名詞1 （工人和工人階級） worker; workman; the working class 2 （工作; 生產勞動） work; labour 3 ...
  • 挖掘 : excavate; unearth; dig; tap; grub; hoe; grave
  1. Something, such as an ice pick, a toothpick, or a picklock, that is used for picking

    尖頭挖掘工具用來挖掘的工具，如碎冰器、牙簽或撬鎖工具
  2. This thesis expatiates on the state - of - the - art of dm technique, with emphasis on data mining algorithms such as clustering analysis, classification analysis, dependence analysis and statistical analysis. a comparative study of three popular dm tools ( ibm intelligent miner, spss clementine and sas enterprise miner ) is carried out. the future trends of dm technology are also revealed

    論文闡述了數據挖掘技術在國內外的研究現狀，對目前主要的數據挖掘演算法如聚類分析、分類分析、相關分析和統計分析進行了剖析，對當前最為流行的數據挖掘工具ibmintelligentminer 、 spssclementine及sasenterpriseminer進行比較分析，闡述了數據挖掘技術的未來發展趨勢。
  3. Using the data mining tools

    使用數據挖掘工具
  4. Data mining tools including wizards, editors, query builders, lift chart

    數據挖掘工具（包括向導、編輯器、查詢生成器、提升圖）
  5. As a result of these work, a data mining tools based on association rules, arminer, is introduced

    這些工作的結晶就是一個基於關聯規則的數據挖掘工具arminer 。
  6. Most knowledge discovery or data mining tools and techniques are based on statistics, machine learning, pattern recognition or artificial neural networks

    大多數的知識發現或數據挖掘工具和技術是基於傳統的統計、機器學習、模式識別或人工神經網路。
  7. This section provides information about how to work with the data mining tools in data mining designer in microsoft sql server 2005 analysis services ssas

    本節提供了有關如何使用microsoft sql server 2005 analysis services （ ssas ）的數據挖掘設計器中的數據挖掘工具的信息。
  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. As a novel tool for knowledge extraction, the rough set theory can supply reliable data to maintenance technicians for rapid and effective fault diagnosis by the " reduction " of information system and extracting a set of minimal diagnostic conditions in the fault diagnosis system

    應用粗糙集理論挖掘工具，對故障信息系統「約簡」 ，在故障診斷系統中提取最小診斷條件集，可為設備維護人員提供快捷、有效的診斷依據。
  10. Msminer : a platform for data mining. in proc

    Msminer是通用的多策略數據挖掘工具。
  11. Web mining and information service in digital library

    挖掘工具與數字圖書館信息服務
  12. A pair of mules holding digging tools

    兩頭帶著挖掘工具的騾子？
  13. The ability of data mining lies on the efficiency of mining instrument

    數據挖掘的能力大小，取決于挖掘工具的效能。
  14. However, it is impossible to understand the data only depend on ourselves if we do not use powerful tools

    如果不藉助強有力的挖掘工具，僅依靠人的能力來理解這些數據是不可能的。
  15. The gulf between data and knowledge calls for powerful data analyzers, with which we can turn data - tombs into gold knowledge

    數據和信息之間的鴻溝要求系統開發數據挖掘工具，將數據墳墓轉換成知識「金礦」 。
  16. Then we define the concept of knowledge integration and discuss its importance and necessity and bring up the point of view that knowledge can be integrated by constructing knowledge integrated platform, paying attention to knowledge mining, constructing flexible organization based on the knowledge network of peer to peer

    然後定義了企業知識整合的概念並探討了其對企業知識管理的必要性和重要性，在此基礎上提出了知識整合可以通過建立知識整合平臺、建立知識挖掘工具、建立基於對等知識聯網的柔性組織等來實現。
  17. This tutorial walks you through scenarios for targeted mailing, forecasting, market basket analysis, and sequence clustering, to demonstrate how to use the data mining algorithms, mining model viewers, and data mining tools that are included in microsoft sql server 2005 analysis services ssas

    本教程將指導您演練目標郵件、預測、購物籃分析以及順序分析和聚類分析等方案，闡釋如何使用microsoft sql server 2005 analysis services （ ssas ）提供的數據挖掘演算法、挖掘模型查看器以及數據挖掘工具。
  18. In short, the innovations of this research can be concluded as fomowings : ( 1 ) to take the lead in applying the newest data mining technique based - on the artificial intelligence in the traditional apparel expenditure behavior, which is not only unique in angle of view but also creative in the research methodology ; ( 2 ) to integrate each aspect of the household apparel consumption decision - making behavior within one system, then to apply the outcome into market practice ; ( 3 ) to take use of both the traditional statistic methods and data mining technique based - on hml to analysis apparel consumption decision - making behavior, which learn from others " strong points to offset one ' s weakness and achieve mastery through a comprehensive study of the subject

    具體邇一言，本研究的創新之處可以歸納為: （ 1 ）率先將基於人工智慧的數據挖掘最新技術和成果應用於傳統的服裝消費行為的研究，不僅視角獨特而且在消費行為研究的方法論上有所突破。 （ 2 ）利用數據挖掘工具將家庭服裝消費行為的各個方面進行了系統的整合研究，突破了傳統研究的單一性和局部性，從而挖掘真正代表消費者購買傾向的規則和模式，並將研究結果應用於市場實際操作加以驗證，實現理論與實踐的結合。 （ 3 ）將以數理統計為中心的傳統統計方法與以市場數據為中心的數據挖掘技術方法交叉應用於服裝消費行為的實際問題研究，取長補短，融會貫通。
  19. 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。
  20. With the increase of data quantity, the problem of ability to deal with the data of instrument which used for data mining seems outstanding day by day

    隨著數據量的增加，數據挖掘工具處理海量數據的能力問題顯得日益突出。數據挖掘通常又稱數據庫知識發現。
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