剔除客戶 的英文怎麼說

中文拼音 [chú]
剔除客戶 英文
customer abandonment
  • : Ⅰ動詞1 (從骨頭上刮肉) scrape meat off bone 2 (從縫隙里往外挑) pick out 3 (剔除) pick out an...
  • : Ⅰ動詞1 (去掉) get rid of; eliminate; remove 2 [數學] (用一個數把另一個數分成若干等份) divide:...
  • : 名詞1 (單扇的門 泛指門) one panelled door; door 2 (人家; 住戶) household; family 3 (門第) f...
  • 剔除 : reject; get rid of
  1. This text focuses on applying abc thought to make research of and design erp system ' s cost accounting and controlling flow on design stage 、 purchase stage 、 production stage and sale stage, primarily including that we : ( 1 ) on design stage, imitate and optimize activity - based cost, as well as establishing the relationship between production design and enterprise production activity chain and product bom through erp ' s cost imitation function, rejecting invalid and non value added activity on applying the thought of abcm, then optimizing activity chain 、 production structure and production design from the cost point of view ; ( 2 ) on purchase process, applies the thought of abc to account and control purchasing cost ; ( 3 ) on production stage, apply thought of abc to calculate the product cost, and use the method of activity difference variance analysis to control product cost ; ( 4 ) on sale stage, apply thought of

    本文重點在erp系統的設計、采購、生產和銷售等四個階段,運用作業成本思想對其成本核算及控制流程作相關的設計研究,主要包括,一在設計階段對作業成本進行模擬和優化,即通過erp成本模擬功能,建立產品設計方案與企業生產作業鏈和產品bom結構之間的對應關系,應用作業管理的思想,無效非增值作業,優化作業鏈及產品結構,從成本的角度優化產品設計方案;二在采購過程中,應用作業成本思想核算與控制采購成本;三在生產製造階段,運用作業成本思想計算產品成本,並採用作業差異分析法控制企業的產品成本;四在銷售階段,運用作業成本思想計算服務成本,為erp系統中的關系管理提供準確的決策數據信息。
  2. Following the two crows data mining process model, the product data, transaction data and customer ' s demographic data are accumulated, such data is preprocessed by the primary component analysis method which can low the connection of variants and reduce the number of variants. one model is built by the improved dynamic cluster method. the quality of the model ' s result will be improved with deleted the outlier data

    參照twocrows數據挖掘過程模型,首先收集購買產品的類型、交易、屬性等數據;然後採用主成分分析法預處理這些數據,以降低數據之間的相關性和減少變量個數;接著採用改進的動態聚類方法建模,在聚類過程中異常點,改善聚類的質量,最終得到一個分片的模型,並對該模型作了比較詳盡的解釋。
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