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data pattern in Chinese

Pronunciation:
How to pronounce "data pattern""data pattern" in a sentence

Translationmobile phoneMobile

  • 數(shù)據(jù)模式

Examples

  • It sketches an outline of the data pattern more clearly .
    它對(duì)資料模型的輪廓描繪得更清晰。
  • Trigger on data patterns within a spi frame
    在spi幀內(nèi)的特定數(shù)據(jù)碼型上觸發(fā)在i
  • Trigger on address and or data patterns within an i2c frame
    C幀內(nèi)的特定地址和或數(shù)據(jù)上觸發(fā)
  • These numbers are sensitive to the data pattern of the existing data and of the data to be loaded
    這些數(shù)字與現(xiàn)有數(shù)據(jù)及要加載的數(shù)據(jù)的數(shù)據(jù)樣式相關(guān)。
  • Commands to set data patterns , perform ecc tests , manipulate the error log , dump the sequencer ram
    用來(lái)為測(cè)試配置柱面,磁頭,給出選項(xiàng)來(lái)隨機(jī)柱面/磁頭和隨機(jī)數(shù)據(jù)模式的指令。
  • Spi triggering allows for trigger on user - definable framing and user - definable number of bits per frame , as well as data patterns
    Spi允許在用戶義幀,用戶俯定義的每幀比特?cái)?shù)以及數(shù)據(jù)碼型上觸發(fā)
  • Simple , programmatically controlled xml or relational database getting and setting , is useful when only a trivial algorithm is required , but the data pattern is still too complex for datapool generated inputs
    簡(jiǎn)單的說(shuō),當(dāng)只需要一般演算法時(shí),透過(guò)程式設(shè)計(jì)方法控制的xml或關(guān)聯(lián)資料庫(kù)的獲取和設(shè)定是有用的,但資料樣式對(duì)于產(chǎn)生的資料池輸入仍舊是太復(fù)雜。
  • In this paper , we propose a scheme to solve the problem of outlier data patterns that the value of outlier data pattern is deleted first and then is predicted by the model of genetic algorithm and neural network
    對(duì)于數(shù)據(jù)集中的異常樣本值,本文提出了一種解決方案:先刪除異常的屬性值,然后再用遺傳bp神經(jīng)網(wǎng)絡(luò)模型進(jìn)行預(yù)測(cè)填補(bǔ),通過(guò)實(shí)驗(yàn)證明這種方案的可行性。
  • It consists of demanding analysis , system structure , data flowing diagram , function module and the application of key techniques , takes and organizes offer parameter and data , uses entity - relation ( e - r ) pattern to design data pattern , selects ms sql server 7 as database , founds database physical structure
    說(shuō)明了基于c s和b s混合結(jié)構(gòu)模式的設(shè)計(jì)與實(shí)現(xiàn),包括系統(tǒng)的需求分析,系統(tǒng)的解決方案,系統(tǒng)的體系結(jié)構(gòu)、數(shù)據(jù)流圖、功能模塊圖以及各關(guān)鍵技術(shù)的應(yīng)用。
  • 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(shù)據(jù)挖掘的一個(gè)重要的任務(wù)就是發(fā)現(xiàn)數(shù)據(jù)庫(kù)中的關(guān)聯(lián)規(guī)則,也就是發(fā)現(xiàn)數(shù)據(jù)項(xiàng)中項(xiàng)集之間有價(jià)值的關(guān)聯(lián)或相關(guān)聯(lián)系。隨著大量數(shù)據(jù)不停地收集和存儲(chǔ),隱藏在數(shù)據(jù)項(xiàng)集中的數(shù)據(jù)模式也越來(lái)越難發(fā)現(xiàn)。
  • More examples:  1  2
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