隱藏庫存 的英文怎麼說

中文拼音 [yǐnzàngcún]
隱藏庫存 英文
hidden inventory
  • : Ⅰ動詞(隱瞞; 隱藏) hide; conceal Ⅱ形容詞1 (隱藏不露) hidden from view; concealed 2 (潛伏的; ...
  • : storing placedepositorydeposit
  • : 動詞1 (存在; 生存) exist; live; survive 2 (儲存; 保存) store; keep 3 (蓄積; 聚集) accumulat...
  • 隱藏 : hide; conceal; remain under cover; go into hiding
  1. It was buried far deeper than myth and the oral history had led us to expect and it emitted radiation and absorbed radiation to simulate the natural character of its surroundings, a mechanical mimesis which is not surprising of itself

    正如我們所猜想的,寶著的,它比一個謎埋的還要深,只有口述的歷史指引我們去想象,他在釋放輻射的同時還吸收輻射,如同它附近物體的自然性質一樣,使我們任何的簡單的機械模仿都無法察覺它的在。
  2. A hidden field acts as a repository for any page - specific information that you want to store directly in the page

    域可用作一個儲,您可以將希望直接儲在頁中的任何特定於頁的信息放置到其中。
  3. There are amount of the data in the database, but there has little technique that can find out the knowledge with these data, so the current situation is that " too much data, too little knowledge "

    數據在著大量的數據,卻缺乏挖掘數據背後的知識的手段,出現了「數據爆炸而知識貧乏」的現象。
  4. Discovering association rules is one of the most important task in data mining, that is to find interesting association or correlation relationships among a large set of data items. with massive amounts of data continuously being collected and stored, data patterns hidden in large data sets are more difficult to find

    數據挖掘的一個重要的任務就是發現數據中的關聯規則,也就是發現數據項中項集之間有價值的關聯或相關聯系。隨著大量數據不停地收集和儲,在數據項集中的數據模式也越來越難發現。
  5. Using data warehouse or data mart as storage area, using olap for counting all kinds of business and for verifying hypothesis made by users, and using data mining for discoverying models hiden in vast data, these all help users to make decisions

    它使用數據倉和數據集市作為數據儲區,通過olap對各個業務運作進行統計和對用戶的假設進行驗證。通過數據挖掘發現數據背後的模式,都是為決策提供量的支持。
  6. With the repaid development of information technology, the development of e - commerce and development of www applications, massive amounts of data have been continuously collected in the databases of many application areas, which contain much useful patterns, and it is very important to find the hidden and previously unknown information for these areas, data mining aims at the task of the above work

    當前快速發展的新的it技術、電子商務及網際網路的迅速普及,導致在各個應用領域的數據儲了大量的數據,這些數據集中包含了很多有用的知識,因此如何發現各種大型數據中所的、預先未知的信息以輔助相應的應用顯得尤為重要,這正是數據挖掘所要完成的任務。
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