relative value form 中文意思是什麼

relative value form 解釋
相對價值形式
  • relative : adj 1 關于…的,與…有關系[聯系]的。2 相對的;相關的;以(他物)為準的,相應的,成比例的 (to) 相...
  • value : n 1 價值;重要性;益處。2 估價,評價。3 價格,所值;交換力。4 (郵票的)面值。5 等值;值得花的代...
  • form : n 1 形態;形狀;樣子,外貌;【哲學】形式 (opp content)。2 人影,物影。3 格式;表格紙 (= 〈美...
  1. The knowledge source which have relative stable form and glossary is analyzed, and the data mining step for this kind of knowledge is designed, viz. filter by key word - intercept - field specialist confirm. the standard glossary table and the " value " of each words is established, which enhance the expert system ability to knowledge acquisition and light the rough task of knowledge banks maintenance

    分析了具有相對固定格式和術語的知識源,設計了適用於這類知識源的電子文本知識挖掘的步驟,即:關鍵詞過濾?截詞?專家確認;形成了專業用語的標準化表和標準詞賦值表,增強了系統的知識獲取能力,減輕了專家系統的知識系統維護。
  2. Cf is a kind of non - different recommendation to all customers, so it is may appear that the company spend much cost but have little revenue. recently a new recommend technology base on lifetime value of customers have emerged, the centre of the technology is to use the weighed sum of the three variable to classify the customers and the reason of use weighed variable is that think about the relative important degree. then we can recommend products according to the association rule in the classify of same clv. the shortcoming of this recommendation is that the recommendation may have some error when the customers ’ data is not enough to form regular value

    近年來出現了一種採用基於客戶生命周期值的加權rfm (表示客戶生命周期的三個指標變量)技術的推薦方法,這一技術的核心思想就是採用這三個客戶屬性變量的加權和的方法來對客戶進行聚類,其中為變量加權是考慮到不同變量對顧客產生的不同重要程度的影響。對符合某一生命周期類型的客戶按照商品挖掘關聯技術進行商品推薦。這種推薦方法的弊端在於當客戶的交易數據不足以形成規律化的量值時,推薦可能會出現偏差。
  3. Results show that relative standard deviation ( rsd ) of prediction value will become larger from 2. 5 % to 4. 72 % with energy decreasing form 100 % to 18 %. it is demonstrated that energy will not significantly affect predictive power by analysis of variance, because 3 samples f - value is 1. 62, 3. 02 and 2. 23 that all less than critical value f0. 05 = 3. 35

    不同能量下的預測值與化學值相關直線的t檢驗( = 0 . 05 )表明各相關直線均無顯著性差異;模型預測值的方差分析( = 0 . 05 )表明儀器能量變化並不會使未知樣品預測值產生顯著性差異。
分享友人