pattern maker 中文意思是什麼

pattern maker 解釋
模型工
  • pattern : n 1 模範，榜樣；典範。2 型，模型；模式；雛型；【冶金】原型。3 花樣；式樣；（服裝裁剪的）紙樣；圖...
  • maker : n. 1. 製造者，製作人，製造商；創造者；出票人。2. 〈our, his, the M-〉 造物主，上帝。3. 〈古語〉詩人。4. 【電學】接合器。
  1. Experience in pattern - making. experience in sleepwear & bra is a plus. pattern maker will work in our factory in wujiang, jiangsu province

    製版方面富有經驗，有睡衣和文胸經驗的優先。工作地點在江蘇吳江工廠。
  2. Variable - pattern water fog nozzle foam - maker

    可變射流形式噴霧水槍泡沫發生器
  3. This paper is based on the cosco vessel investment decision support system project. firstly, according to the shipping enterprise ' s situation and character, a program suitable to the shipping enterprise is given, which is used to help decision - maker analyze the economical effect of the investment and choose correct investment project. secondly, the author extends the use of the evaluation method of single ship investment, simplifys the calculation of revenue and cost, set up the multi - objective synthesis evaluation model of ship investment to evaluate ship investment considering the fleet as a whole, then to make decisions on vessel type jtonnage, number, financing pattern ; finally, the author analyzes the system, and designs the system, mainly including the design of operation database, design of decision support database, the design of models database, system interface, the style of the system, and analyzes the techni cal problems about the system, some functions has been put into use

    以輔助或支持企業的決策者分析投資的經濟效果，選擇投資方向及決策方案，使決策的結果更能滿足航運企業發展的實際需要，作出科學的決策；其次，本文將單船投資決策的技術經濟評價方法進行推廣，在計算npv指標中涉及到的復雜的成本與收入計算問題進行簡化，並利用運籌學的知識，建立船舶投資決策模型，從船隊整體角度對船舶投資進行綜合評價，以達到對船隊中投入船舶種類、船舶噸位、數量與融資方式選擇的多維決策；最後，本文對船舶投資決策支持系統進行了詳細的系統分析，作出整體框架設計，主要包括操作數據庫設計、 dss數據庫設計、模型庫設計和系統介面、系統風格設計，並對系統開發中涉及到的技術問題予以分析，並實現了部分功能。
  4. Data warehouse is a hot research area in 90s its main motif is to provide the decision - maker a powerful tool : gathering the data in pure consistent, relevant pattern, and making use of the data in managing analyzing, data - mining purposec that means that the decision - maker can use the tool to understand, grasp the situation of the business from different directions and forecast the future of it when using data warehouse, the processing speed determines data warehouse ' s practicability and processing ability the hoc ( highway decision center ) system realized before solves some key problems about intermediate scale data, mainly concentrating data warehouse performance coefficient when using hdc in large scale data, it encountered processing speed problem then the settlement of this problem becomes a major research point so, based on the former research achievements, the present task is to construct the renowned data warehouse architecture and its relevant algorithms, then adapts the system to the large scale dataset with data mining functions c this paper is a part of the research in order to construct the powerful system, a key problem is to cope with the processing - speed problem and the data space problem, etc, - caused by the large scale dataset and magnificent dataset this is also the core in the present data mining research this paper ' s motive is to design and realize a decision - tree classifier in the data warehouse system for large - scale dataset

    大型數據倉庫的處理速度問題目前是制約其推廣應用的關鍵所在，也是這一領域的一個重要研究課題，也正是我們當前工作的重點：在前期研究工作的基礎上圍繞提高大型數據倉庫處理速度問題，建立改進的數據倉庫系統模型和相關演算法，開發出面向中級以上企事業單位的、具有數據挖掘和分析能力的大型數據倉庫系統。建立大型數據倉庫所面臨的關鍵問題，是如何妥善解決實際業務數據的大規模、海量特徵所帶來的處理速度和空間等問題，這也是當前挖掘技術研究必然面對的核心問題。本研究的目的是設計並實現大型數據倉庫系統中的分類數據挖掘工具? ?決策樹分類器，主要工作是在綜合了解現有決策樹分類演算法的研究情況的前提下，對決策樹演算法適應大規模數據集的問題進行探討，力求設計出能較好地適應大規模數據的分類器演算法。
  5. A : do you think the pattern maker is very important

    你認為樣板師很重要嗎？
  6. Do you think the pattern maker is very important

    你認為樣板師很重要嗎？
  7. The same important as the designer ， the designer depends on the pattern maker to translate his or her idea

    和設計師一樣重要設計師的思想要樣板師來表達。
  8. In data mining aspect, this paper built a hotel crm oriented data mining model base on junshan hotel data warehouse combine decision tree with neural net data mining technology, and mined potential coustomer " s feature pattern from the model to forecast customer " s behavior, help hotel decision maker to adjust marketing strategy, reduce risk and make the right decision

    在數據挖掘方面，本文研究用決策樹和神經網路的數據挖掘技術相結合，在以軍山大酒店數據倉庫的基礎上，構建一個面向酒店crm的數據挖掘模型。從中挖掘出潛在客戶的特徵模式，預測客戶的行為，幫助酒店企業的決策者調整市場策略，減少風險，作出正確的決策。
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