promotion image of download ymail app
Promoted
Peony asked in 教育與參考考試 · 1 decade ago

有誰可以幫我翻譯成英文呢?急~~~~~

Data Mining 是把大量資料分析與處理工具。將重要資訊和知識從大量的資料堆裡發掘出來,將這些重要數據用於公司決策

Data Mining被公認為決策支援系統中,不可缺少的重要工具,尤其在市埸行銷、顧客服務、詐欺防弊、瑕疵偵測與行為預測方面,Data Mining 扮演一個關鍵且不可或缺的角色。

Data Mining 使用了許多統計分析與 Modeling 的方法,到資料中尋找有用的特徵(Patterns)以及關連性(Relationships),以提供有效的策略決斷並淬煉出具有競爭力的企業智慧。

Data Mining 省略了假設的擬定,直接透過大量統計、類神經網路與人工智慧等先進的資訊技術,從數以百萬計或千萬計的資料裡,自動辨認他們之間的相互關係,分析出何種訊息有其意義,何者可略過,再將結果精簡成有意義的圖形或數據供決策判斷用,所強調的是資料關係的發現,此類的發現是基於事實基礎,而非人為的假設,因而更適用於解決企業各式業務難題。

一般而言,若模型所產生的為不具顯著性的結果、或是結果為眾人皆知的事、或有明顯錯誤且不合理之推論、或是屬於偶然發現但無法再度產生之結果,該類模型皆需排除在外。此時需對模型做進一步之評估與修正,包括參數之設定、調整資料變數之選用、資料變數權數之調整、或是使用其他演算法則等等方式作模組之調整。

與顧客關係方面,企業總希望與顧客建立最穩固的關係,並把這種關係轉化為利潤,即留住老顧客、發展新顧客並鎖定利潤率最高的顧客。為了實現這個目標,企業就需要盡可能地了解顧客的行為,但這種了解不可能透過與顧客的一一接觸直接獲得。

---------

技術是以極大的資料量為出發點,所以有效且正確的從龐大資料庫中汲取有用的資訊,將會是很大的挑戰。Data mining 技術導入企業體系,不是在於資料庫本身,重點在於以企業領域為主。妥善的運用data mining技術,就能產生企業的競爭優勢。

1 Answer

Rating
  • 1 decade ago
    Favorite Answer

    Data Mining is the massive materials analysis and the processing tool. Piles in the important information and the knowledge from the massive materials excavates, uses in the company decision-making these important data

    Data Mining is recognized for the decision-making support system in, the essential important tool, especially in the city 埸 marketing, the customer serves, 詐 bully prevents abuses, the slight defect detects with the behavior forecast aspect, Data Mining acts essential also the indispensable role.

    Data Mining has used many statistical analyses and the Modeling method, seeks the useful characteristic to the material in (Patterns) as well as the correlation (Relationships), provides the effective strategy to make a decision and to quenching writes up the competitive enterprise wisdom.

    Data Mining has abbreviated supposition drawing up, the direct penetration massive statistics, the kind of nerve network and the artificial wisdom and so on the advanced information technology, from million counts in the material which or surely counts, automatically identifies between them the reciprocity, analyzes what kind of news to have its significance, which one can slightly cross, again finally will simplify significant the graph or the data uses for the policy-making judgement, what emphasized will be the material relations discovery, this kind of discovery will be based on the fact foundation, but inhuman for supposition, thus will be suitable for the solution enterprise various types service difficult problem.

    2006-02-17 02:11:25 補充:

    無能為力...字超過上限

    2006-02-17 02:11:40 補充:

    無能為力...字超過上限

    • Commenter avatarLogin to reply the answers
Still have questions? Get your answers by asking now.